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talk_1976_en 1-6 8-40 The universe is teeming with planets I want us , in the next decade , to build a space telescope that |
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talk_1976_en 26-32 33-40 to image an Earth about another star and figure out whether it can harbor life 8-41 8-41 I want us , in the next decade , to build a space telescope that |
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talk_1976_en 8-40 42-69 I want us , in the next decade , to build a space telescope that |
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talk_1976_en 71-82 84-104 Astronomers now believe that every star in the galaxy has a planet and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life 71-114 71-114 Astronomers now believe that every star in the galaxy has a planet , and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life , but we have n |
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talk_1976_en 71-104 106-113 Astronomers now believe that every star in the galaxy has a planet , and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life but we have n |
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talk_1976_en 107-113 115-120 we have n |
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talk_1976_en 134-142 144-167 It was taken by the Voyager spacecraft in 1990 when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away 134-168 134-168 It was taken by the Voyager spacecraft in 1990 , when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away . It was taken by the Voyager spacecraft in 1990 , when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away . 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1976_en 145-148 149-167 they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away 134-168 134-168 It was taken by the Voyager spacecraft in 1990 , when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away . It was taken by the Voyager spacecraft in 1990 , when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away . 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1976_en 134-167 169-180 It was taken by the Voyager spacecraft in 1990 , when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away I want to take that of an Earth-like planet about another star 134-168 169-181 It was taken by the Voyager spacecraft in 1990 , when they turned it around as it was exiting the solar system to take a picture of the Earth from six billion kilometers away . I want to take that of an Earth-like planet about another star . 1<2 Comparison.Similarity Comparison.Similarity |
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talk_1976_en 169-180 182-187 I want to take that of an Earth-like planet about another star Why have n |
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talk_1976_en 182-187 189-192 Why have n |
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talk_1976_en 189-192 195-482 Why is that hard to see , let |
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talk_1976_en 189-192 195-482 Why is that hard to see , let |
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talk_1976_en 198-221 223-236 let |
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talk_1976_en 201-206 207-211 we take the Hubble Space Telescope and we turn it around 194-222 194-222 Well to see , let |
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talk_1976_en 201-206 207-211 we take the Hubble Space Telescope and we turn it around 194-222 194-222 Well to see , let |
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talk_1976_en 208-211 212-221 we turn it around and we move it out to the orbit of Mars 194-222 194-222 Well to see , let |
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talk_1976_en 208-211 212-221 we turn it around and we move it out to the orbit of Mars 194-222 194-222 Well to see , let |
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talk_1976_en 223-236 238-250 We |
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talk_1976_en 198-250 252-259 let |
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talk_1976_en 253-259 262-268 let |
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talk_1976_en 270-282 284-290 It |
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talk_1976_en 284-290 292-300 We can still see the little moon but let |
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talk_1976_en 293-300 303-317 let |
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talk_1976_en 303-317 319-325 we are at the edge of the solar system , out at the Kuiper Belt Now it |
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talk_1976_en 320-325 327-336 it |
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talk_1976_en 327-336 338-347 It |
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talk_1976_en 339-347 350-361 let |
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talk_1976_en 350-356 363-383 we are out at the Oort Cloud and we |
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talk_1976_en 385-392 395-399,406-410 One more time , ten times further away we |
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talk_1976_en 395-399 406-410 we |
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talk_1976_en 407-410 412-432 the planet is gone All we |
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talk_1976_en 412-449 451-456 All we |
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talk_1976_en 443-449 451-456 That |
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talk_1976_en 451-456 458-464 That |
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talk_1976_en 458-464 466-482 The light from the star is diffracting It |
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talk_1976_en 466-482 484-499 It |
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talk_1976_en 485-499 501-507 to see the planet , we have to do something about all of that light We have to get rid of it 484-500 501-508 So to see the planet , we have to do something about all of that light . We have to get rid of it . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1976_en 501-507 509-522 We have to get rid of it I have a lot of colleagues working on really amazing technologies to do that 501-508 509-554 We have to get rid of it . I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 515-519 520-522 working on really amazing technologies to do that 509-554 509-554 I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . 1<2 Contingency.Purpose.Arg2-as-goal Contingency.Purpose |
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talk_1976_en 509-522 524-553 I have a lot of colleagues working on really amazing technologies to do that but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade 509-554 509-554 I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_1976_en 533-538 540-553 that I think is the coolest and probably the most likely to get us an Earth in the next decade 509-554 509-554 I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . I have a lot of colleagues working on really amazing technologies to do that , but I want to tell you about one today that I think is the coolest , and probably the most likely to get us an Earth in the next decade . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 555-561,570-571 573-580 It was first suggested by Lyman Spitzer <*> in 1962 and he took his inspiration from an eclipse 555-581 555-581 It was first suggested by Lyman Spitzer , the father of the space telescope , in 1962 , and he took his inspiration from an eclipse . It was first suggested by Lyman Spitzer , the father of the space telescope , in 1962 , and he took his inspiration from an eclipse . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 588-592 594-602 That |
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talk_1976_en 594-602 604-619 The moon has moved in front of the sun It blocks out most of the light so we can see that dim corona around it 594-603 604-620 The moon has moved in front of the sun . It blocks out most of the light so we can see that dim corona around it . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 604-610 611-619 It blocks out most of the light so we can see that dim corona around it 604-620 604-620 It blocks out most of the light so we can see that dim corona around it . It blocks out most of the light so we can see that dim corona around it . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1976_en 604-619 621-643 It blocks out most of the light so we can see that dim corona around it It would be the same thing if I put my thumb up and blocked that spotlight that |
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talk_1976_en 656-659 662-710 what |
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talk_1976_en 673-682 684-689 We put a telescope or a camera in that shadow we look back at the sun 673-711 673-711 We put a telescope or a camera in that shadow , we look back at the sun , and most of the light |
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talk_1976_en 673-689 691-698 We put a telescope or a camera in that shadow , we look back at the sun and most of the light |
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talk_1976_en 692-698 699-710 most of the light |
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talk_1976_en 692-698 699-710 most of the light |
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talk_1976_en 712-720 722-771 Spitzer |
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talk_1976_en 722-726 728-732 We build a big screen we fly it in space 722-772 722-772 We build a big screen , we fly it in space , we put it up in front of the star , we block out most of the light , we fly a space telescope in that shadow that |
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talk_1976_en 728-732 734-742 we fly it in space we put it up in front of the star 722-772 722-772 We build a big screen , we fly it in space , we put it up in front of the star , we block out most of the light , we fly a space telescope in that shadow that |
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talk_1976_en 734-742 744-750 we put it up in front of the star we block out most of the light 722-772 722-772 We build a big screen , we fly it in space , we put it up in front of the star , we block out most of the light , we fly a space telescope in that shadow that |
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talk_1976_en 744-750 752-762 we block out most of the light we fly a space telescope in that shadow that |
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talk_1976_en 722-762 764-765,767-771 We build a big screen , we fly it in space , we put it up in front of the star , we block out most of the light , we fly a space telescope in that shadow that |
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talk_1976_en 722-771 774-779 We build a big screen , we fly it in space , we put it up in front of the star , we block out most of the light , we fly a space telescope in that shadow that |
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talk_1976_en 782-786 788-792 there |
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talk_1976_en 789-792 794-802 there |
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talk_1976_en 795-802 804-824 unfortunately it does n |
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talk_1976_en 805-816 817-824 the light waves of the light and waves diffracts around that screen the same way it did in the telescope 781-825 781-825 So there |
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talk_1976_en 805-824 826-836 the light waves of the light and waves diffracts around that screen the same way it did in the telescope It |
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talk_1976_en 826-836 838-845 It |
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talk_1976_en 847-851 853-858 It |
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talk_1976_en 847-851 853-858 It |
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talk_1976_en 854-858 860-865 we ca n |
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talk_1976_en 867-881 884-889 If we can feather the edges , soften those edges so we can control diffraction then we can see a planet 867-909 867-909 If we can feather the edges , soften those edges so we can control diffraction , well then we can see a planet , and in the last 10 years or so we |
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talk_1976_en 867-872 874-876 If we can feather the edges soften those edges 867-909 867-909 If we can feather the edges , soften those edges so we can control diffraction , well then we can see a planet , and in the last 10 years or so we |
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talk_1976_en 874-876 877-881 soften those edges so we can control diffraction 867-909 867-909 If we can feather the edges , soften those edges so we can control diffraction , well then we can see a planet , and in the last 10 years or so we |
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talk_1976_en 867-889 891-908 If we can feather the edges , soften those edges so we can control diffraction , well then we can see a planet and in the last 10 years or so we |
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talk_1976_en 892-908 910-914 in the last 10 years or so we |
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talk_1976_en 924-933,935-939 941-944 If we make the edges of those petals exactly right <*> if we control their shape we can control diffraction 924-953 924-953 If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_1976_en 924-933 935-939 If we make the edges of those petals exactly right if we control their shape 924-953 924-953 If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 924-944 946-952 If we make the edges of those petals exactly right , if we control their shape , we can control diffraction and now we have a great shadow 924-953 924-953 If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 924-944 946-952 If we make the edges of those petals exactly right , if we control their shape , we can control diffraction and now we have a great shadow 924-953 924-953 If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . If we make the edges of those petals exactly right , if we control their shape , we can control diffraction , and now we have a great shadow . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1976_en 954-964 966-976 It |
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talk_1976_en 978-989 991-1001 That , of course , has to be bigger than my thumb That starshade is about the size of half a football field 978-990 991-1030 That , of course , has to be bigger than my thumb . That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1976_en 991-1001 1002-1021 That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow 991-1030 991-1030 That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1003-1021 1023-1029 it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow and then we can see those planets 991-1030 991-1030 That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1003-1021 1023-1029 it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow and then we can see those planets 991-1030 991-1030 That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . That starshade is about the size of half a football field and it has to fly 50,000 kilometers away from the telescope that has to be held right in its shadow , and then we can see those planets . 1<2 Temporal.Asynchronous.Precedence Temporal.Asynchronous |
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talk_1976_en 1031-1033 1035-1060 This sounds formidable but brilliant engineers , colleagues of mine at JPL , came up with a fabulous design for how to do that and it looks like this 1031-1061 1031-1061 This sounds formidable , but brilliant engineers , colleagues of mine at JPL , came up with a fabulous design for how to do that and it looks like this . This sounds formidable , but brilliant engineers , colleagues of mine at JPL , came up with a fabulous design for how to do that and it looks like this . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_1976_en 1036-1055 1056-1060 brilliant engineers , colleagues of mine at JPL , came up with a fabulous design for how to do that and it looks like this 1031-1061 1031-1061 This sounds formidable , but brilliant engineers , colleagues of mine at JPL , came up with a fabulous design for how to do that and it looks like this . This sounds formidable , but brilliant engineers , colleagues of mine at JPL , came up with a fabulous design for how to do that and it looks like this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1062-1067 1069-1073 It starts wrapped around a hub It separates from the telescope 1062-1068 1069-1074 It starts wrapped around a hub . It separates from the telescope . 1<2 Temporal.Asynchronous.Precedence Temporal.Asynchronous |
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talk_1976_en 1069-1073 1075-1077 It separates from the telescope The petals unfurl 1069-1074 1075-1087 It separates from the telescope . The petals unfurl , they open up , the telescope turns around . 1<2 Temporal.Asynchronous.Precedence Temporal.Asynchronous |
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talk_1976_en 1075-1077 1079-1081 The petals unfurl they open up 1075-1087 1075-1087 The petals unfurl , they open up , the telescope turns around . The petals unfurl , they open up , the telescope turns around . 1<2 Expansion.Equivalence Expansion.Equivalence |
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talk_1976_en 1079-1081 1083-1086 they open up the telescope turns around 1075-1087 1075-1087 The petals unfurl , they open up , the telescope turns around . The petals unfurl , they open up , the telescope turns around . 1<2 Temporal.Asynchronous.Precedence Temporal.Asynchronous |
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talk_1976_en 1083-1086 1088-1103 the telescope turns around Then you |
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talk_1976_en 1093 1094-1095 flip and fly 1088-1104 1088-1104 Then you |
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talk_1976_en 1089-1103 1105-1122 you |
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talk_1976_en 1105-1122 1124,1126-1131 It |
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talk_1976_en 1145-1157 1159-1173 we |
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talk_1976_en 1201-1206 1223-1228 You |
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talk_1976_en 1230-1236 1238-1258 Those petals have to rotate into place The base of those petals has to go to the same place every time to within a tenth of a millimeter 1230-1237 1238-1259 Those petals have to rotate into place . The base of those petals has to go to the same place every time to within a tenth of a millimeter . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1976_en 1260-1265 1267-1282 We ran this test 16 times and 16 times it went into the exact same place to a tenth of a millimeter 1260-1283 1260-1283 We ran this test 16 times , and 16 times it went into the exact same place to a tenth of a millimeter . We ran this test 16 times , and 16 times it went into the exact same place to a tenth of a millimeter . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1284-1290 1292-1319 This has to be done very precisely but if we can do this , if we can build this technology , if we can get it into space , you might see something like this 1284-1320 1284-1320 This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_1976_en 1293-1297,1299-1304,1306-1312 1314-1319 if we can do this <*> if we can build this technology <*> if we can get it into space you might see something like this 1284-1320 1284-1320 This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_1976_en 1293-1297 1299-1304 if we can do this if we can build this technology 1284-1320 1284-1320 This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1299-1304 1306-1312 if we can build this technology if we can get it into space 1284-1320 1284-1320 This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . This has to be done very precisely , but if we can do this , if we can build this technology , if we can get it into space , you might see something like this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1338-1361 1363-1384 If we can take a similar space telescope , slightly larger , put it out there , fly an occulter in front of it what we might see is something like that -- that |
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talk_1976_en 1372-1380 1382-1384 that |
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talk_1976_en 1383-1384 1386-1407 not ours We |
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talk_1976_en 1409-1412 1414-1421 You can see Jupiter you can see Saturn , Uranus , Neptune 1409-1440 1409-1440 You can see Jupiter , you can see Saturn , Uranus , Neptune , and right there in the center , next to the residual light is that pale blue dot . You can see Jupiter , you can see Saturn , Uranus , Neptune , and right there in the center , next to the residual light is that pale blue dot . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1414-1421 1423-1439 you can see Saturn , Uranus , Neptune and right there in the center , next to the residual light is that pale blue dot 1409-1440 1409-1440 You can see Jupiter , you can see Saturn , Uranus , Neptune , and right there in the center , next to the residual light is that pale blue dot . You can see Jupiter , you can see Saturn , Uranus , Neptune , and right there in the center , next to the residual light is that pale blue dot . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1976_en 1473-1480 1482-1498 I think this is the coolest possible science That |
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talk_1976_en 1482-1489 1491-1498 That |
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talk_1978_en 1-23 25-30 I feel so fortunate that my first job was working at the Museum of Modern Art on a retrospective of painter Elizabeth Murray I learned so much from her 1-24 25-31 I feel so fortunate that my first job was working at the Museum of Modern Art on a retrospective of painter Elizabeth Murray . I learned so much from her . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 48-56 58-72 I loved looking at the paintings from the 1970s There were some motifs and elements that would come up again later in her life 32-57 58-73 After the curator Robert Storr selected all the paintings from her lifetime body of work , I loved looking at the paintings from the 1970s . There were some motifs and elements that would come up again later in her life . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 86-93 95-102 If you did n |
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talk_1978_en 107-123 125-128,130-131,133-150 that a few did n |
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talk_1978_en 140-150 152-157 she had set it out in the trash in her studio and her neighbor had taken it 125-163 125-163 One of the works , in fact , so did n |
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talk_1978_en 140-150 152-157 she had set it out in the trash in her studio and her neighbor had taken it 125-163 125-163 One of the works , in fact , so did n |
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talk_1978_en 153-157 158-162 her neighbor had taken it because she saw its value 125-163 125-163 One of the works , in fact , so did n |
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talk_1978_en 125-162 164-174 One of the works , in fact , so did n |
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talk_1978_en 168-174 176-193 my view of success and creativity changed I realized that success is a moment , but what we |
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talk_1978_en 176-182 184-193 I realized that success is a moment but what we |
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talk_1978_en 185-193 195-208 what we |
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talk_1978_en 210-218 220-234 This is a question I |
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talk_1978_en 236-240 241-255 I started to understand this when I went on one cold May day to watch a set of varsity archers 236-277 236-277 I started to understand this when I went on one cold May day to watch a set of varsity archers , all women as fate would have it , at the northern tip of Manhattan at Columbia |
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talk_1978_en 291-298 300-309 that in order to actually hit your target you have to aim at something slightly skew from it 278-310 278-310 I wanted to see what |
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talk_1978_en 278-309 311-325 I wanted to see what |
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talk_1978_en 312 313-314 stood and watched 311-336 311-336 I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 311-314 315-325 I stood and watched as the coach drove up these women in this gray van 311-336 311-336 I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 311-325 327-329 I stood and watched as the coach drove up these women in this gray van and they exited 311-336 311-336 I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 311-325 327-329 I stood and watched as the coach drove up these women in this gray van and they exited 311-336 311-336 I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . I stood and watched as the coach drove up these women in this gray van , and they exited with this kind of relaxed focus . 1<2 Temporal.Asynchronous.Precedence Temporal.Asynchronous |
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talk_1978_en 337-354 356-361 One held a half-eaten ice cream cone in one hand and arrows in the left with yellow fletching And they passed me and smiled 337-355 356-404 One held a half-eaten ice cream cone in one hand and arrows in the left with yellow fletching . And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 357-359 360-361 they passed me and smiled 356-404 356-404 And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . 1<2 Expansion.Conjunction;Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 361 363-375 smiled but they sized me up as they made their way to the turf 356-404 356-404 And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_1978_en 364-367 368-375 they sized me up as they made their way to the turf 356-404 356-404 And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 364-375 377-403 they sized me up as they made their way to the turf and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target 356-404 356-404 And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . 1<2 Expansion.Conjunction;Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 378-384 385-403 spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target 356-404 356-404 And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . And they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target . 1<2 Expansion.Substitution.Arg2-as-subst Expansion.Substitution |
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talk_1978_en 357-403 405-443 they passed me and smiled , but they sized me up as they made their way to the turf , and spoke to each other not with words but with numbers , degrees , I thought , positions for how they might plan to hit their target I stood behind one archer as her coach stood in between us to maybe assess who might need support , and watched her , and I did n |
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talk_1978_en 405-409 410-416 I stood behind one archer as her coach stood in between us 405-444 405-444 I stood behind one archer as her coach stood in between us to maybe assess who might need support , and watched her , and I did n |
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talk_1978_en 411-416 417-423 her coach stood in between us to maybe assess who might need support 405-444 405-444 I stood behind one archer as her coach stood in between us to maybe assess who might need support , and watched her , and I did n |
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talk_1978_en 405-423 425-427 I stood behind one archer as her coach stood in between us to maybe assess who might need support and watched her 405-444 405-444 I stood behind one archer as her coach stood in between us to maybe assess who might need support , and watched her , and I did n |
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talk_1978_en 405-427 429-443 I stood behind one archer as her coach stood in between us to maybe assess who might need support , and watched her and I did n |
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talk_1978_en 445-467 469-481 The ten ring from the standard 75-yard distance , it looks as small as a matchstick tip held out at arm |
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talk_1978_en 483-490 492-495 She first hit a seven , I remember and then a nine 483-513 483-513 She first hit a seven , I remember , and then a nine , and then two tens , and then the next arrow did n |
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talk_1978_en 483-490 493-495 She first hit a seven , I remember then a nine 483-513 483-513 She first hit a seven , I remember , and then a nine , and then two tens , and then the next arrow did n |
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talk_1978_en 494-495 497-500 a nine and then two tens 483-513 483-513 She first hit a seven , I remember , and then a nine , and then two tens , and then the next arrow did n |
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talk_1978_en 494-495 498-500 a nine then two tens 483-513 483-513 She first hit a seven , I remember , and then a nine , and then two tens , and then the next arrow did n |
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talk_1978_en 499-500 502-512 two tens and then the next arrow did n |
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talk_1978_en 499-500 503-512 two tens then the next arrow did n |
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talk_1978_en 504-512 514-521 the next arrow did n |
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talk_1978_en 504-512 514-521 the next arrow did n |
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talk_1978_en 515-521 523-530 I saw that gave her more tenacity and she went after it again and again 514-531 514-531 And I saw that gave her more tenacity , and she went after it again and again . And I saw that gave her more tenacity , and she went after it again and again . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 515-521 523-530 I saw that gave her more tenacity and she went after it again and again 514-531 514-531 And I saw that gave her more tenacity , and she went after it again and again . And I saw that gave her more tenacity , and she went after it again and again . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 532-537 539-585 For three hours this went on At the end of the practice , one of the archers was so taxed that she lied out on the ground just star-fished , her head looking up at the sky , trying to find what T.S. Eliot might call that still point of the turning world 532-538 539-586 For three hours this went on . At the end of the practice , one of the archers was so taxed that she lied out on the ground just star-fished , her head looking up at the sky , trying to find what T.S. Eliot might call that still point of the turning world . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 619-629 630-635 what it means to align your body posture for three hours in order to hit a target 587-644 587-644 It |
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talk_1978_en 587-643 645-647 It |
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talk_1978_en 646-647 648-666 I stayed because I realized I was witnessing what |
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talk_1978_en 669-674 676-692 success is hitting that ten ring but mastery is knowing that it means nothing if you ca n |
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talk_1978_en 680-683 684-692 that it means nothing if you ca n |
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talk_1978_en 677-692 694-701,703 mastery is knowing that it means nothing if you ca n |
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talk_1978_en 694-701 705-711 Mastery is not just the same as excellence It |
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talk_1978_en 705-733 735-742 It |
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talk_1978_en 735-742 743-747 Mastery is not a commitment to a goal but to a constant pursuit 735-748 735-748 Mastery is not a commitment to a goal but to a constant pursuit . Mastery is not a commitment to a goal but to a constant pursuit . 1<2 Expansion.Substitution.Arg2-as-subst Expansion.Substitution |
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talk_1978_en 749-754 756-768 What gets us to do this what get us to forward thrust more is to value the near win 749-769 749-769 What gets us to do this , what get us to forward thrust more is to value the near win . What gets us to do this , what get us to forward thrust more is to value the near win . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1978_en 756-768 770-804 what get us to forward thrust more is to value the near win How many times have we designated something a classic , a masterpiece even , while its creator considers it hopelessly unfinished , riddled with difficulties and flaws , in other words , a near win 749-769 770-805 What gets us to do this , what get us to forward thrust more is to value the near win . How many times have we designated something a classic , a masterpiece even , while its creator considers it hopelessly unfinished , riddled with difficulties and flaws , in other words , a near win ? 1<2 Expansion.Instantiation Expansion.Instantiation |
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talk_1978_en 770-782 784-804 How many times have we designated something a classic , a masterpiece even while its creator considers it hopelessly unfinished , riddled with difficulties and flaws , in other words , a near win 770-805 770-805 How many times have we designated something a classic , a masterpiece even , while its creator considers it hopelessly unfinished , riddled with difficulties and flaws , in other words , a near win ? How many times have we designated something a classic , a masterpiece even , while its creator considers it hopelessly unfinished , riddled with difficulties and flaws , in other words , a near win ? 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 806-809 810-816 Elizabeth Murray surprised me with her admission about her earlier paintings 806-817 806-817 Elizabeth Murray surprised me with her admission about her earlier paintings . Elizabeth Murray surprised me with her admission about her earlier paintings . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1978_en 806-816 818-843 Elizabeth Murray surprised me with her admission about her earlier paintings Painter Paul Cézanne so often thought his works were incomplete that he would deliberately leave them aside with the intention of picking them back up again 806-817 818-866 Elizabeth Murray surprised me with her admission about her earlier paintings . Painter Paul Cézanne so often thought his works were incomplete that he would deliberately leave them aside with the intention of picking them back up again , but at the end of his life , the result was that he had only signed 10 percent of his paintings . 1<2 Comparison.Similarity Comparison.Similarity |
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talk_1978_en 818-843 845-865 Painter Paul Cézanne so often thought his works were incomplete that he would deliberately leave them aside with the intention of picking them back up again but at the end of his life , the result was that he had only signed 10 percent of his paintings 818-866 820-866 Painter Paul Cézanne so often thought his works were incomplete that he would deliberately leave them aside with the intention of picking them back up again , but at the end of his life , the result was that he had only signed 10 percent of his paintings . Cézanne so often thought his works were incomplete that he would deliberately leave them aside with the intention of picking them back up again , but at the end of his life , the result was that he had only signed 10 percent of his paintings . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_1978_en 867-881 883-891 His favorite novel was " The [ Unknown ] Masterpiece " by Honoré de Balzac and he felt the protagonist was the painter himself 867-892 867-892 His favorite novel was " The [ Unknown ] Masterpiece " by Honoré de Balzac , and he felt the protagonist was the painter himself . His favorite novel was " The [ Unknown ] Masterpiece " by Honoré de Balzac , and he felt the protagonist was the painter himself . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 893-896 897-904 Franz Kafka saw incompletion when others would find only works to praise 893-927 893-927 Franz Kafka saw incompletion when others would find only works to praise , so much so that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death . Franz Kafka saw incompletion when others would find only works to praise , so much so that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death . 1<2 Comparison.Contrast Comparison.Contrast |
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talk_1978_en 893-904 906-926 Franz Kafka saw incompletion when others would find only works to praise so much so that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death 893-927 893-927 Franz Kafka saw incompletion when others would find only works to praise , so much so that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death . Franz Kafka saw incompletion when others would find only works to praise , so much so that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 909-926 928-934 that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death His friend refused to honor the request 893-927 928-975 Franz Kafka saw incompletion when others would find only works to praise , so much so that he wanted all of his diaries , manuscripts , letters and even sketches burned upon his death . His friend refused to honor the request , and because of that , we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_1978_en 928-934 936,941-974 His friend refused to honor the request and <*> we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence 928-975 928-975 His friend refused to honor the request , and because of that , we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence . His friend refused to honor the request , and because of that , we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 928-934 937-939,941-974 His friend refused to honor the request because of that <*> we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence 928-975 928-975 His friend refused to honor the request , and because of that , we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence . His friend refused to honor the request , and because of that , we now have all the works we now do by Kafka : " America , " " The Trial " and " The Castle , " a work so incomplete it even stops mid-sentence . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 991-1017 1019-1036 Lord , grant that I desire more than I can accomplish , " Michelangelo implored , as if to that Old Testament God on the Sistine Chapel and he himself was that Adam with his finger outstretched and not quite touching that God 's hand 990-1037 990-1037 " Lord , grant that I desire more than I can accomplish , " Michelangelo implored , as if to that Old Testament God on the Sistine Chapel , and he himself was that Adam with his finger outstretched and not quite touching that God 's hand . " Lord , grant that I desire more than I can accomplish , " Michelangelo implored , as if to that Old Testament God on the Sistine Chapel , and he himself was that Adam with his finger outstretched and not quite touching that God 's hand . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1025-1028 1029-1036 with his finger outstretched and not quite touching that God 's hand 990-1037 990-1037 " Lord , grant that I desire more than I can accomplish , " Michelangelo implored , as if to that Old Testament God on the Sistine Chapel , and he himself was that Adam with his finger outstretched and not quite touching that God 's hand . " Lord , grant that I desire more than I can accomplish , " Michelangelo implored , as if to that Old Testament God on the Sistine Chapel , and he himself was that Adam with his finger outstretched and not quite touching that God 's hand . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1038-1042 1044-1046 Mastery is in the reaching not the arriving 1038-1047 1038-1047 Mastery is in the reaching , not the arriving . Mastery is in the reaching , not the arriving . 1<2 Expansion.Substitution.Arg1-as-subst Expansion.Substitution |
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talk_1978_en 1038-1046 1048-1066 Mastery is in the reaching , not the arriving It 's in constantly wanting to close that gap between where you are and where you want to be 1038-1047 1048-1067 Mastery is in the reaching , not the arriving . It 's in constantly wanting to close that gap between where you are and where you want to be . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1048-1066 1068-1083 It 's in constantly wanting to close that gap between where you are and where you want to be Mastery is about sacrificing for your craft and not for the sake of crafting your career 1048-1067 1068-1084 It 's in constantly wanting to close that gap between where you are and where you want to be . Mastery is about sacrificing for your craft and not for the sake of crafting your career . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1068-1074 1075-1083 Mastery is about sacrificing for your craft and not for the sake of crafting your career 1068-1084 1068-1084 Mastery is about sacrificing for your craft and not for the sake of crafting your career . Mastery is about sacrificing for your craft and not for the sake of crafting your career . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1068-1074 1075-1083 Mastery is about sacrificing for your craft and not for the sake of crafting your career 1068-1084 1068-1084 Mastery is about sacrificing for your craft and not for the sake of crafting your career . Mastery is about sacrificing for your craft and not for the sake of crafting your career . 1<2 Expansion.Substitution.Arg1-as-subst Expansion.Substitution |
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talk_1978_en 1114-1125 1127-1136 that his triumphs are not merely the result of a grand achievement but of the propulsion of a lineage of near wins 1096-1137 1096-1137 We see it even in the life of the indomitable Arctic explorer Ben Saunders , who tells me that his triumphs are not merely the result of a grand achievement , but of the propulsion of a lineage of near wins . We see it even in the life of the indomitable Arctic explorer Ben Saunders , who tells me that his triumphs are not merely the result of a grand achievement , but of the propulsion of a lineage of near wins . 1<2 Comparison.Contrast Comparison.Contrast |
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talk_1978_en 1183-1195 1196-1218 Part of the reason that the near win is inbuilt to mastery is because the greater our proficiency , the more clearly we might see that we do n't know all that we thought we did 1183-1219 1183-1219 Part of the reason that the near win is inbuilt to mastery is because the greater our proficiency , the more clearly we might see that we do n't know all that we thought we did . Part of the reason that the near win is inbuilt to mastery is because the greater our proficiency , the more clearly we might see that we do n't know all that we thought we did . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 1228-1236 1237-1262 The Paris Review got it out of James Baldwin when they asked him , " What do you think increases with knowledge ? " and he said , " You learn how little you know 1228-1264 1228-1264 The Paris Review got it out of James Baldwin when they asked him , " What do you think increases with knowledge ? " and he said , " You learn how little you know . " The Paris Review got it out of James Baldwin when they asked him , " What do you think increases with knowledge ? " and he said , " You learn how little you know . " 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 1238-1249 1252-1262 they asked him , " What do you think increases with knowledge and he said , " You learn how little you know 1228-1264 1228-1264 The Paris Review got it out of James Baldwin when they asked him , " What do you think increases with knowledge ? " and he said , " You learn how little you know . " The Paris Review got it out of James Baldwin when they asked him , " What do you think increases with knowledge ? " and he said , " You learn how little you know . " 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1265-1267 1269-1279 Success motivates us but a near win can propel us in an ongoing quest 1265-1280 1265-1280 Success motivates us , but a near win can propel us in an ongoing quest . Success motivates us , but a near win can propel us in an ongoing quest . 1<2 Comparison.Contrast Comparison.Contrast |
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talk_1978_en 1265-1279 1281-1305 Success motivates us , but a near win can propel us in an ongoing quest One of the most vivid examples of this comes when we look at the difference between Olympic silver medalists and bronze medalists after a competition 1265-1280 1281-1306 Success motivates us , but a near win can propel us in an ongoing quest . One of the most vivid examples of this comes when we look at the difference between Olympic silver medalists and bronze medalists after a competition . 1<2 Expansion.Instantiation Expansion.Instantiation |
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talk_1978_en 1281-1305 1307-1356 One of the most vivid examples of this comes when we look at the difference between Olympic silver medalists and bronze medalists after a competition Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition 1281-1306 1307-1357 One of the most vivid examples of this comes when we look at the difference between Olympic silver medalists and bronze medalists after a competition . Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . 1<2 Expansion.Instantiation Expansion.Instantiation |
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talk_1978_en 1307-1316 1317-1327,1349-1356 Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze <*> gives silver medalists a focus on follow-up competition 1307-1357 1307-1357 Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1307-1316 1317-1356 Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition 1307-1357 1307-1357 Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 1336-1342 1343-1347 to have just not received fourth place and not medaled at all 1307-1357 1307-1357 Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1336-1342 1343-1347 to have just not received fourth place and not medaled at all 1307-1357 1307-1357 Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . Thomas Gilovich and his team from Cornell studied this difference and found that the frustration silver medalists feel compared to bronze , who are typically a bit more happy to have just not received fourth place and not medaled at all , gives silver medalists a focus on follow-up competition . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 1366-1376 1377-1404 that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers 1358-1421 1358-1421 We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1382-1391 1392,1394-1399 that had a higher than average rate of near wins and <*> compelled people to buy more tickets 1358-1421 1358-1421 We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1382-1391 1392-1399 that had a higher than average rate of near wins and so compelled people to buy more tickets 1358-1421 1358-1421 We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 1366-1404 1406-1420 that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers and were set on a gambling industry set of abuses in Britain in the 1970s 1358-1421 1358-1421 We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . We see it even in the gambling industry that once picked up on this phenomenon of the near win and created these scratch-off tickets that had a higher than average rate of near wins and so compelled people to buy more tickets that they were called heart-stoppers , and were set on a gambling industry set of abuses in Britain in the 1970s . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1422-1430 1431-1460 The reason the near win has a propulsion is because it changes our view of the landscape and puts our goals , which we tend to put at a distance , into more proximate vicinity to where we stand 1422-1461 1422-1461 The reason the near win has a propulsion is because it changes our view of the landscape and puts our goals , which we tend to put at a distance , into more proximate vicinity to where we stand . The reason the near win has a propulsion is because it changes our view of the landscape and puts our goals , which we tend to put at a distance , into more proximate vicinity to where we stand . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 1432-1438 1439-1460 it changes our view of the landscape and puts our goals , which we tend to put at a distance , into more proximate vicinity to where we stand 1422-1461 1422-1461 The reason the near win has a propulsion is because it changes our view of the landscape and puts our goals , which we tend to put at a distance , into more proximate vicinity to where we stand . The reason the near win has a propulsion is because it changes our view of the landscape and puts our goals , which we tend to put at a distance , into more proximate vicinity to where we stand . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1462-1475 1477-1484 If I ask you to envision what a great day looks like next week you might describe it in more general terms 1462-1485 1462-1485 If I ask you to envision what a great day looks like next week , you might describe it in more general terms . If I ask you to envision what a great day looks like next week , you might describe it in more general terms . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_1978_en 1462-1484 1486-1508 If I ask you to envision what a great day looks like next week , you might describe it in more general terms But if I ask you to describe a great day at TED tomorrow , you might describe it with granular , practical clarity 1462-1485 1486-1509 If I ask you to envision what a great day looks like next week , you might describe it in more general terms . But if I ask you to describe a great day at TED tomorrow , you might describe it with granular , practical clarity . 1<2 Comparison.Contrast Comparison.Contrast |
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talk_1978_en 1487-1498 1500-1508 if I ask you to describe a great day at TED tomorrow you might describe it with granular , practical clarity 1486-1509 1486-1509 But if I ask you to describe a great day at TED tomorrow , you might describe it with granular , practical clarity . But if I ask you to describe a great day at TED tomorrow , you might describe it with granular , practical clarity . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_1978_en 1487-1508 1510-1517 if I ask you to describe a great day at TED tomorrow , you might describe it with granular , practical clarity And this is what a near win does 1486-1509 1510-1518 But if I ask you to describe a great day at TED tomorrow , you might describe it with granular , practical clarity . And this is what a near win does . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1511-1517 1519-1540 this is what a near win does It gets us to focus on what , right now , we plan to do to address that mountain in our sights 1510-1518 1519-1541 And this is what a near win does . It gets us to focus on what , right now , we plan to do to address that mountain in our sights . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1978_en 1542-1562 1564-1578 It |
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talk_1978_en 1542-1562 1564-1578 It |
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talk_1978_en 1547-1578 1580-1608 who in 1984 missed taking the gold in the heptathlon by one third of a second , and her husband predicted that would give her the tenacity she needed in follow-up competition In 1988 , she won the gold in the heptathlon and set a record of 7,291 points , a score that no athlete has come very close to since 1542-1579 1580-1609 It |
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talk_1978_en 1583-1589 1590-1596 she won the gold in the heptathlon and set a record of 7,291 points 1580-1609 1580-1609 In 1988 , she won the gold in the heptathlon and set a record of 7,291 points , a score that no athlete has come very close to since . In 1988 , she won the gold in the heptathlon and set a record of 7,291 points , a score that no athlete has come very close to since . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1583-1589 1590-1596 she won the gold in the heptathlon and set a record of 7,291 points 1580-1609 1580-1609 In 1988 , she won the gold in the heptathlon and set a record of 7,291 points , a score that no athlete has come very close to since . In 1988 , she won the gold in the heptathlon and set a record of 7,291 points , a score that no athlete has come very close to since . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_1978_en 1610-1618 1620-1627 We thrive not when we |
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talk_1978_en 1632 1633-1634 thinking and wondering 1629-1671 1629-1671 I stand here thinking and wondering about all the different ways that we might even manufacture a near win in this room , how your lives might play this out , because I think on some gut level we do know this . I stand here thinking and wondering about all the different ways that we might even manufacture a near win in this room , how your lives might play this out , because I think on some gut level we do know this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_1978_en 1629-1658 1660-1670 I stand here thinking and wondering about all the different ways that we might even manufacture a near win in this room , how your lives might play this out because I think on some gut level we do know this 1629-1671 1629-1671 I stand here thinking and wondering about all the different ways that we might even manufacture a near win in this room , how your lives might play this out , because I think on some gut level we do know this . I stand here thinking and wondering about all the different ways that we might even manufacture a near win in this room , how your lives might play this out , because I think on some gut level we do know this . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 1661-1670 1672-1684 I think on some gut level we do know this We know that we thrive when we stay at our own leading edge 1629-1671 1672-1698 I stand here thinking and wondering about all the different ways that we might even manufacture a near win in this room , how your lives might play this out , because I think on some gut level we do know this . We know that we thrive when we stay at our own leading edge , and it |
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talk_1978_en 1672-1684 1686-1697 We know that we thrive when we stay at our own leading edge and it |
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talk_1978_en 1672-1684 1686-1697 We know that we thrive when we stay at our own leading edge and it |
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talk_1978_en 1687-1697 1699-1715 it |
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talk_1978_en 1726-1731 1732-1740 a deliberate flaw in the pattern to give the weaver or maker a way out 1717-1750 1717-1750 It |
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talk_1978_en 1717-1740 1742-1749 It |
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talk_1978_en 1717-1740 1743-1749 It |
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talk_1978_en 1717-1749 1751-1763 It |
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talk_1978_en 1751-1754 1755-1763 Masters are not experts because they take a subject to its conceptual end 1751-1764 1751-1764 Masters are not experts because they take a subject to its conceptual end . Masters are not experts because they take a subject to its conceptual end . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 1751-1763 1765-1775 Masters are not experts because they take a subject to its conceptual end They |
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talk_1978_en 1765-1767 1768-1775 They |
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talk_1978_en 1778-1781 1783-1787 it occurred to me as I thought about this 1777-1842 1777-1842 Now it occurred to me , as I thought about this , why the archery coach told me at the end of that practice , out of earshot of his archers , that he and his colleagues never feel they can do enough for their team , never feel there are enough visualization techniques and posture drills to help them overcome those constant near wins . Now it occurred to me , as I thought about this , why the archery coach told me at the end of that practice , out of earshot of his archers , that he and his colleagues never feel they can do enough for their team , never feel there are enough visualization techniques and posture drills to help them overcome those constant near wins . 1<2 Temporal.Synchronous Temporal.Synchronous |
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talk_1978_en 1843-1851 1853-1888 It did n |
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talk_1978_en 1854-1866 1868-1888 just a way to let me know , a kind of tender admission to remind me that he knew he was giving himself over to a voracious , unfinished path that always required more 1843-1889 1843-1889 It did n |
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talk_1978_en 1890-1905 1907-1912 We build out of the unfinished idea , even if that idea is our former self This is the dynamic of mastery 1890-1906 1907-1913 We build out of the unfinished idea , even if that idea is our former self . This is the dynamic of mastery . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_1978_en 1907-1912 1914-1932 This is the dynamic of mastery Coming close to what you thought you wanted can help you attain more than you ever dreamed you could 1907-1913 1914-1933 This is the dynamic of mastery . Coming close to what you thought you wanted can help you attain more than you ever dreamed you could . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_1978_en 1934-1944 1945-1958 It |
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talk_1978_en 1960-1964 1966-1973 Even if we created utopias I believe we would still have the incomplete 1960-1974 1960-1974 Even if we created utopias , I believe we would still have the incomplete . Even if we created utopias , I believe we would still have the incomplete . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_1978_en 1975-1978 1980-1987 Completion is a goal but we hope it is never the end 1975-1988 1975-1988 Completion is a goal , but we hope it is never the end . Completion is a goal , but we hope it is never the end . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2009_en 1-14 16-42 As a little girl , I always imagined I would one day run away From the age of six on , I kept a packed bag with some clothes and cans of food tucked away in the back of a closet 1-15 16-43 As a little girl , I always imagined I would one day run away . From the age of six on , I kept a packed bag with some clothes and cans of food tucked away in the back of a closet . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 23-42 44-66 I kept a packed bag with some clothes and cans of food tucked away in the back of a closet There was a deep restlessness in me , a primal fear that I would fall prey to a life of routine and boredom 16-43 44-67 From the age of six on , I kept a packed bag with some clothes and cans of food tucked away in the back of a closet . There was a deep restlessness in me , a primal fear that I would fall prey to a life of routine and boredom . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_2009_en 44-66 68,71-102 There was a deep restlessness in me , a primal fear that I would fall prey to a life of routine and boredom And <*> many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road 44-67 68-103 There was a deep restlessness in me , a primal fear that I would fall prey to a life of routine and boredom . And so , many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 44-66 68-69,71-102 There was a deep restlessness in me , a primal fear that I would fall prey to a life of routine and boredom And so <*> many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road 44-67 68-103 There was a deep restlessness in me , a primal fear that I would fall prey to a life of routine and boredom . And so , many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_2009_en 86-88 90-102 forage for berries and meet all kinds of strange people living unconventional lives on the road 68-103 68-103 And so , many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road . And so , many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 104-106 108-141 Years have passed but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer 104-142 104-142 Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2009_en 71-102 104-106,109-141 many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road Years have passed <*> many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer 68-103 104-142 And so , many of my early memories involved intricate daydreams where I would walk across borders , forage for berries , and meet all kinds of strange people living unconventional lives on the road . Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . 1<2 Temporal.Asynchronous.Precedence Temporal.Asynchronous |
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talk_2009_en 120 121-130 traveling and weaving my way between worlds other than my own 104-142 104-142 Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 132-134 135-141 have become realities through my work as a documentary photographer 104-142 104-142 Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . 1<2 Expansion.Manner.Arg2-as-manner Expansion.Manner |
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talk_2009_en 109-141 143-168 many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer But no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States 104-142 143-169 Years have passed , but many of the adventures I fantasized about as a child -- traveling and weaving my way between worlds other than my own — have become realities through my work as a documentary photographer . But no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2009_en 144-154 155-168 no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States 143-169 143-169 But no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States . But no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States . 1<2 Comparison.Similarity Comparison.Similarity |
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talk_2009_en 156-157 158-168 living amongst and documenting the lives of fellow wanderers across the United States 143-169 143-169 But no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States . But no other experience has felt as true to my childhood dreams as living amongst and documenting the lives of fellow wanderers across the United States . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 201-208 210-237 the vagabond is a creature from the past The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar 195-209 210-273 In most of our minds , the vagabond is a creature from the past . The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar , but these photographs are in color , and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_2009_en 210-237 239-272 The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar but these photographs are in color , and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see 210-273 210-273 The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar , but these photographs are in color , and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see . The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar , but these photographs are in color , and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see . 1<2 Comparison.Contrast Comparison.Contrast |
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talk_2009_en 240-244 246-272 these photographs are in color and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see 210-273 210-273 The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar , but these photographs are in color , and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see . The word " hobo " conjures up an old black and white image of a weathered old man covered in coal , legs dangling out of a boxcar , but these photographs are in color , and they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 247-272 274-290 they portray a community swirling across the country , fiercely alive and creatively free , seeing sides of America that no one else gets to see Like their predecessors , today |
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talk_2009_en 278-290 292-315 today |
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talk_2009_en 300-303 305-315 stick out their thumbs and ride the highways with anyone from truckers to soccer moms 292-316 292-316 By day , they hop freight trains , stick out their thumbs , and ride the highways with anyone from truckers to soccer moms . By day , they hop freight trains , stick out their thumbs , and ride the highways with anyone from truckers to soccer moms . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 292-315 317-340 By day , they hop freight trains , stick out their thumbs , and ride the highways with anyone from truckers to soccer moms By night , they sleep beneath the stars , huddled together with their packs of dogs , cats and pet rats between their bodies 292-316 317-341 By day , they hop freight trains , stick out their thumbs , and ride the highways with anyone from truckers to soccer moms . By night , they sleep beneath the stars , huddled together with their packs of dogs , cats and pet rats between their bodies . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 342-365 367-393 Some travelers take to the road by choice , renouncing materialism , traditional jobs and university degrees in exchange for a glimmer of adventure Others come from the underbelly of society , never given a chance to mobilize upwards : foster care dropouts , teenage runaways escaping abuse and unforgiving homes 342-366 367-394 Some travelers take to the road by choice , renouncing materialism , traditional jobs and university degrees in exchange for a glimmer of adventure . Others come from the underbelly of society , never given a chance to mobilize upwards : foster care dropouts , teenage runaways escaping abuse and unforgiving homes . 1<2 Comparison.Contrast Comparison.Contrast |
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talk_2009_en 395-403 405-416 Where others see stories of privation and economic failure travelers view their own existence through the prism of liberation and freedom 395-417 395-417 Where others see stories of privation and economic failure , travelers view their own existence through the prism of liberation and freedom . Where others see stories of privation and economic failure , travelers view their own existence through the prism of liberation and freedom . 1>2 Comparison.Contrast Comparison.Contrast |
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talk_2009_en 405-416 418-446 travelers view their own existence through the prism of liberation and freedom they |
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talk_2009_en 418-419,421-434 420,435-446 they |
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talk_2009_en 418-446 448-482 they |
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talk_2009_en 448-471 472-482 They take advantage of the fact that in the United States , up to 40 percent of all food ends up in the garbage by scavenging for perfectly good produce in dumpsters and trash cans 448-483 448-483 They take advantage of the fact that in the United States , up to 40 percent of all food ends up in the garbage by scavenging for perfectly good produce in dumpsters and trash cans . They take advantage of the fact that in the United States , up to 40 percent of all food ends up in the garbage by scavenging for perfectly good produce in dumpsters and trash cans . 1<2 Expansion.Manner.Arg2-as-manner Expansion.Manner |
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talk_2009_en 448-482 484-515 They take advantage of the fact that in the United States , up to 40 percent of all food ends up in the garbage by scavenging for perfectly good produce in dumpsters and trash cans They sacrifice material comforts in exchange for the space and the time to explore a creative interior , to dream , to read , to work on music , art and writing 448-483 484-516 They take advantage of the fact that in the United States , up to 40 percent of all food ends up in the garbage by scavenging for perfectly good produce in dumpsters and trash cans . They sacrifice material comforts in exchange for the space and the time to explore a creative interior , to dream , to read , to work on music , art and writing . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 484-515 517-529 They sacrifice material comforts in exchange for the space and the time to explore a creative interior , to dream , to read , to work on music , art and writing But there are many aspects to this life that are far from idyllic 484-516 517-530 They sacrifice material comforts in exchange for the space and the time to explore a creative interior , to dream , to read , to work on music , art and writing . But there are many aspects to this life that are far from idyllic . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2009_en 518-529 531-541 there are many aspects to this life that are far from idyllic No one loses their inner demons by taking to the road 517-530 531-542 But there are many aspects to this life that are far from idyllic . No one loses their inner demons by taking to the road . 1<2 Contingency.Cause.Reason Contingency.Cause |
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talk_2009_en 533-536 537-541 loses their inner demons by taking to the road 531-542 531-542 No one loses their inner demons by taking to the road . No one loses their inner demons by taking to the road . 1<2 Expansion.Manner.Arg2-as-manner Expansion.Manner |
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talk_2009_en 531-541 543-577 No one loses their inner demons by taking to the road Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence 531-542 543-578 No one loses their inner demons by taking to the road . Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_2009_en 554 555-556 maim and kill 543-578 543-578 Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence . Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 552-556 558-577 freight trains maim and kill and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence 543-578 543-578 Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence . Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2009_en 559-577 579-619 anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence Who here knows that in many cities across the United States it is now illegal to sit on the sidewalk , to wrap oneself in a blanket , to sleep in your own car , to offer food to a stranger 543-578 579-620 Addiction is real , the elements are real , freight trains maim and kill , and anyone who has lived on the streets can attest to the exhaustive list of laws that criminalize homeless existence . Who here knows that in many cities across the United States it is now illegal to sit on the sidewalk , to wrap oneself in a blanket , to sleep in your own car , to offer food to a stranger ? 1<2 Expansion.Instantiation Expansion.Instantiation |
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talk_2009_en 579-619 579-581,621-647 Who here knows that in many cities across the United States it is now illegal to sit on the sidewalk , to wrap oneself in a blanket , to sleep in your own car , to offer food to a stranger Who here knows <*> I know about these laws because I |
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talk_2009_en 621-625 626-647 I know about these laws because I |
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talk_2009_en 636-639 640-647 hauled off to jail or received citations for committing these so-called crimes 621-648 621-648 I know about these laws because I |
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talk_2009_en 641-642 643-647 received citations for committing these so-called crimes 621-648 621-648 I know about these laws because I |
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talk_2009_en 649-687 655,689-716 Many of you might be wondering why anyone would choose a life like this , under the thumb of discriminatory laws , eating out of trash cans , sleeping under bridges , picking up seasonal jobs here and there why <*> The answer to such a question is as varied as the people that take to the road , but travelers often respond with a single word : freedom 649-688 649-688,689-717 Many of you might be wondering why anyone would choose a life like this , under the thumb of discriminatory laws , eating out of trash cans , sleeping under bridges , picking up seasonal jobs here and there . Many of you might be wondering why anyone would choose a life like this , under the thumb of discriminatory laws , eating out of trash cans , sleeping under bridges , picking up seasonal jobs here and there . <*> The answer to such a question is as varied as the people that take to the road , but travelers often respond with a single word : freedom . 1<2 Hypophora Hypophora |
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talk_2009_en 689-705 707-716 The answer to such a question is as varied as the people that take to the road but travelers often respond with a single word : freedom 689-717 689-717 The answer to such a question is as varied as the people that take to the road , but travelers often respond with a single word : freedom . The answer to such a question is as varied as the people that take to the road , but travelers often respond with a single word : freedom . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2009_en 718-746 748-775 Until we live in a society where every human is assured dignity in their labor so that they can work to live well , not only work to survive there will always be an element of those who seek the open road as a means of escape , of liberation and , of course , of rebellion 718-776 718-776 Until we live in a society where every human is assured dignity in their labor so that they can work to live well , not only work to survive , there will always be an element of those who seek the open road as a means of escape , of liberation and , of course , of rebellion . Until we live in a society where every human is assured dignity in their labor so that they can work to live well , not only work to survive , there will always be an element of those who seek the open road as a means of escape , of liberation and , of course , of rebellion . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_2009_en 724-732 733-740 where every human is assured dignity in their labor so that they can work to live well 718-776 718-776 Until we live in a society where every human is assured dignity in their labor so that they can work to live well , not only work to survive , there will always be an element of those who seek the open road as a means of escape , of liberation and , of course , of rebellion . Until we live in a society where every human is assured dignity in their labor so that they can work to live well , not only work to survive , there will always be an element of those who seek the open road as a means of escape , of liberation and , of course , of rebellion . 1<2 Contingency.Purpose.Arg2-as-goal Contingency.Purpose |
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talk_2150_en 43-58 60-71 there |
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talk_2150_en 62-71 73-78 I want to show you a new kind of map This is not a geographic map 60-72 73-79 Today , I want to show you a new kind of map . This is not a geographic map . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2150_en 73-78 80-95 This is not a geographic map This is a map of the relationships between people in my hometown of Baltimore , Maryland 73-79 80-129 This is not a geographic map . This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . 1<2 Expansion.Substitution.Arg2-as-subst Expansion.Substitution |
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talk_2150_en 132-158 165-193 I |
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talk_2150_en 221-232 234-242 it seems as though we |
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talk_2150_en 132-302 304-325 I |
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talk_2150_en 323-325 327-343 that |
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talk_2150_en 386-396 398-489 You see something a little bit different happening in San Francisco On the one hand , you do have the media , politics and news lobe that tends to exist in Baltimore and other cities , but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network , and there |
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talk_2150_en 398-489 491-543 On the one hand , you do have the media , politics and news lobe that tends to exist in Baltimore and other cities , but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network , and there |
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talk_2150_en 398-489 491-494,496,498-569 On the one hand , you do have the media , politics and news lobe that tends to exist in Baltimore and other cities , but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network , and there |
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talk_2150_en 537-543 545-569 you can actually see that documented here You can see the LGBT community is not really getting along with the geek community that well , the arts community , the music community 491-544 545-570 So you can see , though , that the tensions that we |
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talk_2150_en 545-569 571-578 You can see the LGBT community is not really getting along with the geek community that well , the arts community , the music community And so it leads to things like this 545-570 571-579 You can see the LGBT community is not really getting along with the geek community that well , the arts community , the music community . And so it leads to things like this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 545-569 571-578 You can see the LGBT community is not really getting along with the geek community that well , the arts community , the music community And so it leads to things like this 545-570 571-579 You can see the LGBT community is not really getting along with the geek community that well , the arts community , the music community . And so it leads to things like this . 1<2 Contingency.Cause.Result Contingency.Cause |
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talk_2150_en 662-669 671-676 that everything |
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talk_2150_en 688-703 705-718 You still have the lobe of people involved with government , newspapers , politics , columnists TEDxRio is down in the lower right , right next to bloggers and writers 688-704 705-719 You still have the lobe of people involved with government , newspapers , politics , columnists . TEDxRio is down in the lower right , right next to bloggers and writers . 1<2 Expansion.Level-of-detail.Arg2-as-detail Expansion.Level-of-detail |
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talk_2150_en 688-703 720-737 You still have the lobe of people involved with government , newspapers , politics , columnists But then you also have this tremendous diversity of people that are interested in different kinds of music 688-704 720-738 You still have the lobe of people involved with government , newspapers , politics , columnists . But then you also have this tremendous diversity of people that are interested in different kinds of music . 1<2 Comparison.Concession.Arg2-as-denier Comparison.Concession |
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talk_2150_en 688-703 722-737 You still have the lobe of people involved with government , newspapers , politics , columnists you also have this tremendous diversity of people that are interested in different kinds of music 688-704 720-738 You still have the lobe of people involved with government , newspapers , politics , columnists . But then you also have this tremendous diversity of people that are interested in different kinds of music . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 722,724-737 739-745 you <*> have this tremendous diversity of people that are interested in different kinds of music Even Justin Bieber fans are represented here 720-738 739-746 But then you also have this tremendous diversity of people that are interested in different kinds of music . Even Justin Bieber fans are represented here . 1<2 Expansion.Instantiation Expansion.Instantiation |
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talk_2150_en 739-745 747-762 Even Justin Bieber fans are represented here Other boy bands , country singers , gospel music , funk and rap and stand-up comedy 739-746 747-775 Even Justin Bieber fans are represented here . Other boy bands , country singers , gospel music , funk and rap and stand-up comedy , and there |
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talk_2150_en 765-774 776-779 there |
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talk_2150_en 776-779 781,783-787,789-790 How cool is that And <*> the Flamengo football team is <*> represented here 776-780 781-791 How cool is that ? And then the Flamengo football team is also represented here . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 739-745 783-790 Even Justin Bieber fans are represented here the Flamengo football team is also represented here 739-746 781-791 Even Justin Bieber fans are represented here . And then the Flamengo football team is also represented here . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 671-790 792-839 It |
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talk_2150_en 842-846 848-875 we have all this data It |
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talk_2150_en 842-875 877-883 we have all this data . It |
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talk_2150_en 878-883 887-1109 what can we do with it I think the first thing that we can try to understand is that segregation is a social construct . It |
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talk_2150_en 899-904 906-913 that segregation is a social construct It |
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talk_2150_en 933-970 973-985 what we |
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talk_2150_en 889-904 987-1004 the first thing that we can try to understand is that segregation is a social construct The other thing that we start to realize is that race is a really poor proxy for diversity 885-905 987-1005 Well , I think the first thing that we can try to understand is that segregation is a social construct . The other thing that we start to realize is that race is a really poor proxy for diversity . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 987-1004 1006-1021 The other thing that we start to realize is that race is a really poor proxy for diversity we |
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talk_2150_en 1023-1035 1037-1068 only looking at race does n |
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talk_2150_en 987-1004 1071,1073-1109 The other thing that we start to realize is that race is a really poor proxy for diversity lastly <*> we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so 987-1005 1070-1110 The other thing that we start to realize is that race is a really poor proxy for diversity . And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 1112-1115 1117-1153 what is a city I think some might say that it is a geographical area or a collection of streets and buildings , but I believe that a city is the sum of the relationships of the people that live there 1111-1116 1117-1190 So what is a city ? I think some might say that it is a geographical area or a collection of streets and buildings , but I believe that a city is the sum of the relationships of the people that live there , and I believe that if we can start to document those relationships in a real way then maybe we have a real shot at creating those kinds of cities that we |
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talk_2150_en 1-6 8-40 When we think about mapping cities we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation , or you might think about the bold vision of an urban designer 1-59 1-59 When we think about mapping cities , we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation , or you might think about the bold vision of an urban designer , but there |
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talk_2150_en 8-17 19-27 we tend to think about roads and streets and buildings and the settlement narrative that led to their creation 1-59 1-59 When we think about mapping cities , we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation , or you might think about the bold vision of an urban designer , but there |
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talk_2150_en 8-27 29-40 we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation or you might think about the bold vision of an urban designer 1-59 1-59 When we think about mapping cities , we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation , or you might think about the bold vision of an urban designer , but there |
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talk_2150_en 1-40 42-58 When we think about mapping cities , we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation , or you might think about the bold vision of an urban designer but there |
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talk_2150_en 49-51 52-58 about mapping cities and how they got to be made 1-59 1-59 When we think about mapping cities , we tend to think about roads and streets and buildings , and the settlement narrative that led to their creation , or you might think about the bold vision of an urban designer , but there |
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talk_2150_en 80-95 97-109 This is a map of the relationships between people in my hometown of Baltimore , Maryland and what you can see here is that each dot represents a person 80-129 80-129 This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 104-109 111-118 that each dot represents a person each line represents a relationship between those people 80-129 80-129 This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 111-118 120-128 each line represents a relationship between those people and each color represents a community within the network 80-129 80-129 This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . This is a map of the relationships between people in my hometown of Baltimore , Maryland , and what you can see here is that each dot represents a person , each line represents a relationship between those people , and each color represents a community within the network . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 132-138 140-148 I |
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talk_2150_en 132-148 150-158 I |
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talk_2150_en 132-148 150-158 I |
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talk_2150_en 202-210 212-218 the green part of the network we call Smalltimore for those of us that inhabit it 163-233 163-233 Now , on the other side of the network , you tend to have primarily African-American and Latino folks who are really concerned about somewhat different things than the geeks are , but just to give some sense , the green part of the network we call Smalltimore , for those of us that inhabit it , because it seems as though we |
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talk_2150_en 202-210 220-232 the green part of the network we call Smalltimore because it seems as though we |
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talk_2150_en 234-242 244-260 We see the same people over and over again but that |
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talk_2150_en 234-242 244-260 We see the same people over and over again but that |
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talk_2150_en 270-280 281-302 you have folks who are interested in things like hip-hop music and they even identify with living in the DC /Maryland / Virginia area over , say , the Baltimore city designation proper 262-303 262-303 On the other end of the network , you have folks who are interested in things like hip-hop music and they even identify with living in the DC /Maryland / Virginia area over , say , the Baltimore city designation proper . On the other end of the network , you have folks who are interested in things like hip-hop music and they even identify with living in the DC /Maryland / Virginia area over , say , the Baltimore city designation proper . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 311-320 322-325 that there |
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talk_2150_en 345-357 359-375 Under Armour , you may have heard of , is a Baltimore company and that community of sports acts as the only bridge between these two ends of the network 345-376 345-376 Under Armour , you may have heard of , is a Baltimore company , and that community of sports acts as the only bridge between these two ends of the network . Under Armour , you may have heard of , is a Baltimore company , and that community of sports acts as the only bridge between these two ends of the network . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 403-421 398-401,423-446 you do have the media , politics and news lobe that tends to exist in Baltimore and other cities On the one hand <*> but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network 398-490 398-490 On the one hand , you do have the media , politics and news lobe that tends to exist in Baltimore and other cities , but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network , and there |
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talk_2150_en 403-421 423-446 you do have the media , politics and news lobe that tends to exist in Baltimore and other cities but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network 398-490 398-490 On the one hand , you do have the media , politics and news lobe that tends to exist in Baltimore and other cities , but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network , and there |
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talk_2150_en 424-446 448-467 you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network and there |
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talk_2150_en 449-459 456,460-467 there |
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talk_2150_en 501-508 509-532 that we |
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talk_2150_en 492-534 536-543 you can see , though , that the tensions that we |
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talk_2150_en 586-594 596-607 Somebody sent me this photo a few weeks ago and it shows what is happening on the ground in San Francisco 586-626 586-626 Somebody sent me this photo a few weeks ago , and it shows what is happening on the ground in San Francisco , and I think you can actually try to understand that through looking at a map like this . Somebody sent me this photo a few weeks ago , and it shows what is happening on the ground in San Francisco , and I think you can actually try to understand that through looking at a map like this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 597-607 609-625 it shows what is happening on the ground in San Francisco and I think you can actually try to understand that through looking at a map like this 586-626 586-626 Somebody sent me this photo a few weeks ago , and it shows what is happening on the ground in San Francisco , and I think you can actually try to understand that through looking at a map like this . Somebody sent me this photo a few weeks ago , and it shows what is happening on the ground in San Francisco , and I think you can actually try to understand that through looking at a map like this . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 612-618 619-625 you can actually try to understand that through looking at a map like this 586-626 586-626 Somebody sent me this photo a few weeks ago , and it shows what is happening on the ground in San Francisco , and I think you can actually try to understand that through looking at a map like this . Somebody sent me this photo a few weeks ago , and it shows what is happening on the ground in San Francisco , and I think you can actually try to understand that through looking at a map like this . 1<2 Expansion.Manner.Arg2-as-manner Expansion.Manner |
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talk_2150_en 637-646 648-669 I spent the last few weeks gathering data about Rio and one of the things that stood out to me about this city is that everything |
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talk_2150_en 637-646 648-669 I spent the last few weeks gathering data about Rio and one of the things that stood out to me about this city is that everything |
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talk_2150_en 671-676 677-686 It |
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talk_2150_en 739-762 764-774 Even Justin Bieber fans are represented here . Other boy bands , country singers , gospel music , funk and rap and stand-up comedy and there |
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talk_2150_en 793-808 810-818 you have that same kind of spread of sports and civics and the arts and music but it |
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talk_2150_en 811-818 820-839 it |
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talk_2150_en 793-818 820-839 you have that same kind of spread of sports and civics and the arts and music , but it |
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talk_2150_en 848-861 863-875 It |
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talk_2150_en 906-913 915-922 It |
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talk_2150_en 916-922 924-970 we could choose not to do it and if you kind of think about it , what we |
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talk_2150_en 925-931 933-970 if you kind of think about it what we |
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talk_2150_en 941-947 948-959 aiming a space telescope at a city and looking at it as if was a giant high school cafeteria 906-971 906-971 It |
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talk_2150_en 949-951 952-959 looking at it as if was a giant high school cafeteria 906-971 906-971 It |
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talk_2150_en 949-959 961-970 looking at it as if was a giant high school cafeteria and seeing how everybody arranged themselves in a seating chart 906-971 906-971 It |
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talk_2150_en 1006-1021 1023-1035 we |
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talk_2150_en 1038-1055 1057-1068 if we |
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talk_2150_en 1042-1044 1045-1055 to use diversity as a way to tackle some of our more intractable problems 1037-1069 1037-1069 So if we |
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talk_2150_en 1077-1079 1080-1089 to create interventions to start to reshape our cities in a new way 1070-1110 1070-1110 And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . 1<2 Contingency.Purpose.Arg2-as-goal Contingency.Purpose |
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talk_2150_en 1073-1089 1091-1109 we have the ability to create interventions to start to reshape our cities in a new way and I believe that if we have that capability , we may even bear some responsibility to do so 1070-1110 1070-1110 And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . 1<2 Expansion.Conjunction Expansion.Conjunction |
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talk_2150_en 1073-1089 1091-1109 we have the ability to create interventions to start to reshape our cities in a new way and I believe that if we have that capability , we may even bear some responsibility to do so 1070-1110 1070-1110 And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . 1<2 Contingency.Cause+Belief.Result+Belief Contingency.Cause+Belief |
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talk_2150_en 1095-1099 1101-1109 if we have that capability we may even bear some responsibility to do so 1070-1110 1070-1110 And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . And lastly , we have the ability to create interventions to start to reshape our cities in a new way , and I believe that if we have that capability , we may even bear some responsibility to do so . 1>2 Contingency.Condition.Arg2-as-cond Contingency.Condition |
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talk_2150_en 1119-1134 1136-1153 some might say that it is a geographical area or a collection of streets and buildings but I believe that a city is the sum of the relationships of the people that live there 1117-1190 1117-1190 I think some might say that it is a geographical area or a collection of streets and buildings , but I believe that a city is the sum of the relationships of the people that live there , and I believe that if we can start to document those relationships in a real way then maybe we have a real shot at creating those kinds of cities that we |
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talk_2150_en 1137-1153 1155-1189 I believe that a city is the sum of the relationships of the people that live there and I believe that if we can start to document those relationships in a real way then maybe we have a real shot at creating those kinds of cities that we |
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talk_2150_en 1159-1170 1171-1189 if we can start to document those relationships in a real way then maybe we have a real shot at creating those kinds of cities that we |
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