0:00:00.000,0:00:02.890 [The interpretation[br]provided for this presentation 0:00:02.890,0:00:04.860 is live and unrehearsed. 0:00:04.860,0:00:07.003 Interpreter(s) assigned may or may not 0:00:07.003,0:00:09.936 have had materials[br]in advance for preparation. 0:00:09.936,0:00:12.646 Inaccuracies related[br]to the content of the material 0:00:12.646,0:00:16.356 may be due to imperfections[br]in the interpreting process. 0:00:16.356,0:00:19.986 This interpretation has not[br]been reviewed by the presenter.] 0:00:41.050,0:00:42.810 I'm thrilled to be here at Gallaudet, 0:00:42.810,0:00:44.250 to come back to my alma mater. 0:00:44.250,0:00:46.233 I have my masters in linguistics. 0:00:46.233,0:00:48.977 I graduated from here,[br]and then my Ph.D. in psychology, 0:00:48.977,0:00:50.380 so it's nice to be back home. 0:00:50.380,0:00:53.540 [Effect of Audism and Linguisticism[br]on the Developing Deaf Person] 0:00:53.540,0:00:58.547 As has already been explained,[br]I work in RIT at the Deaf Studies Lab. 0:00:58.547,0:01:00.797 And you can see my team here on the slide. 0:01:00.797,0:01:04.637 [Audism - "being Deaf is bad"[br]Dr. Tom Humphries] 0:01:08.287,0:01:10.857 Many of you may have[br]heard of the term "audism." 0:01:10.857,0:01:11.880 It's not a new term, 0:01:11.880,0:01:16.147 and it was coined in 1977[br]by Dr. Tom Humphries. 0:01:16.147,0:01:19.457 He wrote about that term[br]in his Ph.D. dissertation. 0:01:19.457,0:01:23.923 And by audism he meant some attitude[br]which was prejudiced against people 0:01:23.923,0:01:25.903 according to their hearing status. 0:01:25.903,0:01:30.240 So some idea that deaf people were broken,[br]needed to be fixed, or were inferior. 0:01:30.950,0:01:33.244 And that if you wanted[br]to be happy in this world, 0:01:33.244,0:01:35.083 you really needed to be hearing. 0:01:35.083,0:01:40.399 [Linguisticism - "teaching Deaf children[br]ASL is bad" - Dr. MJ Bienvenu] 0:01:41.130,0:01:47.404 Linguisticism is related to audism,[br]and the first time I heard that term 0:01:47.404,0:01:51.790 was when Dr. MJ Bienvenu[br]was presenting at RIT - 0:01:51.790,0:01:54.276 she was a keynote speaker[br]at one of our conferences - 0:01:54.276,0:01:56.600 and she mentioned linguisticism. 0:01:56.600,0:01:59.420 And that struck a chord with me, 0:01:59.420,0:02:02.443 and it's about some prejudice[br]against language, 0:02:02.443,0:02:05.800 believing that one language[br]is inferior to another. 0:02:06.930,0:02:09.040 Many people do not believe, for example, 0:02:09.040,0:02:12.283 that ASL is the equivalent[br]or has the same status 0:02:12.283,0:02:16.846 or is able to express the same things[br]as English, for example. 0:02:17.293,0:02:20.367 There are many studies which have been[br]carried out in this field, 0:02:20.367,0:02:23.927 but I want to talk about one study today[br]which really looks specifically 0:02:23.927,0:02:26.786 at the notions[br]of audism and linguisticism. 0:02:26.786,0:02:29.260 And I want to talk[br]about the notion of resilience - 0:02:29.260,0:02:30.976 psychological resilience. 0:02:30.976,0:02:32.146 What do I mean by that? 0:02:32.146,0:02:35.600 [- stress, - conflicts, - disagreements,[br]- bad experiences, - adversities 0:02:35.600,0:02:37.120 resilience (arrow up; person)] 0:02:37.120,0:02:42.703 Of course, all people experience stress,[br]disagreements, adversities. 0:02:42.703,0:02:44.147 That's the nature of life. 0:02:44.147,0:02:45.814 If you don't have much resilience, 0:02:45.814,0:02:50.183 you have a weak resilience,[br]then let's see what happens. 0:02:50.183,0:02:53.613 [- stress, - conflicts, - disagreements,[br]- bad experiences, - adversities 0:02:53.613,0:02:54.873 weak (arrow down, person) 0:02:54.873,0:02:56.513 (arrow from adversities to heart)] 0:02:56.513,0:02:57.773 It really knocks you back, 0:02:57.773,0:03:00.653 and it's hard to get back on your feet[br]and really bounce back 0:03:00.653,0:03:02.193 and get on with your daily life. 0:03:02.193,0:03:03.266 It's very problematic. 0:03:03.266,0:03:05.740 However, if you have[br]some strong sense of resilience, 0:03:05.740,0:03:07.000 what does that look like? 0:03:07.000,0:03:09.040 [Strong (arrow down),[br]resilience (arrow up) 0:03:09.040,0:03:10.600 (arrows bounce back)] 0:03:10.600,0:03:14.050 Of course, it still knocks you back, 0:03:14.050,0:03:17.440 it's just that you have the wherewithal[br]to get back on your own two feet 0:03:17.440,0:03:19.457 and carry on living your everyday life. 0:03:19.457,0:03:21.810 So resilience is[br]that power to bounce back. 0:03:21.810,0:03:24.850 And it's very important[br]for school, for universities, 0:03:24.850,0:03:28.010 for success in life and mental well being. 0:03:28.010,0:03:31.480 And there are two other important terms[br]I really want to talk about now. 0:03:31.485,0:03:35.115 [Protective Factors - Stronger[br](arrow down, arrows right and left)] 0:03:35.115,0:03:38.256 [Risk Factors - Weaker (arrow down,[br]arrows in from right and left) 0:03:38.656,0:03:41.046 Protective Factors[br]Risk Factors] 0:03:41.046,0:03:42.250 In terms of resilience, 0:03:42.250,0:03:46.406 thinking about protective factors[br]and risk factors. 0:03:46.776,0:03:52.084 Protective factors are those things[br]that help us develop a strong resilience. 0:03:52.084,0:03:56.250 And risk factors are those things[br]which cause our resilience to be weakened. 0:03:56.250,0:03:58.493 So I just want to ask you all a question. 0:03:58.493,0:04:01.523 [is being deaf a risk factor?] 0:04:01.803,0:04:06.233 Do we think that being deaf[br]itself is a risk factor? 0:04:06.233,0:04:09.017 Well, the team I work with[br]don't believe it to be the case. 0:04:09.017,0:04:12.354 There are many successful deaf people[br]out there in the big, wide world 0:04:12.354,0:04:14.313 who have excellent qualities of life. 0:04:14.313,0:04:16.586 They earn more money than the average Joe. 0:04:16.586,0:04:19.442 There are very successful[br]deaf people in education 0:04:19.442,0:04:21.553 that do much better[br]than their hearing peers. 0:04:21.553,0:04:24.394 So it doesn't appear[br]deafness is a risk factor. 0:04:24.394,0:04:27.267 [we hypothesize that[br]internalizing audism is the risk factor] 0:04:27.267,0:04:33.170 But we would say that some kind of idea[br]of internalized audism is a risk factor. 0:04:33.170,0:04:36.693 That idea that you're continually[br]exposed to being needed to be fixed 0:04:36.693,0:04:38.027 or that you're broken, 0:04:38.027,0:04:45.030 if you internalize those ideas -[br]that you need to be fixed - 0:04:45.030,0:04:48.630 then we feel that that,[br]in and of itself, is the risk factor. 0:04:48.630,0:04:51.097 So we wanted to see[br]if we could set up an experiment 0:04:51.097,0:04:52.630 to test if that were the case. 0:04:52.630,0:04:55.310 [Connor-Davidson Resilience Scale[br]Connor & Davidson, 2003 0:04:55.310,0:04:58.569 measures: - sense of personal competence,[br]- trust in one's instincts, 0:04:58.569,0:05:01.349 - tolerance of negative effects,[br]- sense of social support, 0:05:01.349,0:05:03.459 - positive acceptance of change, ... ] 0:05:03.459,0:05:06.610 Well, I suppose the big question is:[br]How do you measure resilience? 0:05:06.610,0:05:08.750 But there are a number of tests out there, 0:05:08.750,0:05:13.897 and we used one which has been[br]used with teenagers and young adults 0:05:13.897,0:05:17.103 to ask them a variety of questions[br]about their resilience; 0:05:17.103,0:05:19.814 and it's a multiple choice,[br]just a pen and paper exercise. 0:05:19.814,0:05:21.296 So we used that task. 0:05:21.296,0:05:25.606 [(slide continued) - action-oriented[br]approach to problem solving] 0:05:25.606,0:05:30.183 So I suppose the next question is:[br]How do we measure internalized audism? 0:05:30.183,0:05:32.157 And this is kind of where the fun starts. 0:05:32.157,0:05:35.387 [Deaf Implicit Association Test[br]Hauser, Listman, & Kurz, 2013] 0:05:35.677,0:05:41.243 In the research field of social cognition,[br]they have a variety of different methods, 0:05:41.243,0:05:46.784 one of which actually is used[br]to measure racism, sexism, 0:05:46.784,0:05:48.390 and other kinds of prejudices. 0:05:48.390,0:05:53.360 So we borrowed that mainstream test[br]and actually tried to adapt it for audism. 0:05:53.360,0:05:55.553 It's a computer-delivered test. 0:05:55.553,0:05:57.934 And the idea is that you[br]push computer buttons, 0:05:57.934,0:05:59.867 and you measure reaction times. 0:05:59.867,0:06:02.366 And this gives you an idea[br]of what it looks like. 0:06:02.366,0:06:05.376 [GOOD (pictures), BAD (pictures)] 0:06:06.767,0:06:08.750 So I want you to remember these pictures. 0:06:08.750,0:06:11.933 There's one set of pictures there[br]which says something good, 0:06:11.933,0:06:15.240 and there's another set of pictures[br]which demonstrate bad things. 0:06:15.813,0:06:18.140 So please take a good look. 0:06:23.330,0:06:24.954 So if we now look at the screen, 0:06:24.954,0:06:28.644 you can see we have good on one side[br]and bad on the other. 0:06:28.644,0:06:30.700 So if you see something that's good, 0:06:30.700,0:06:33.247 I want you to point to the side[br]which represents good. 0:06:33.247,0:06:34.674 And if you see something bad, 0:06:34.674,0:06:37.120 I want you to point to the side[br]that represents bad. 0:06:37.120,0:06:39.260 [Good (left) Bad (right)[br](picture - hugging)] 0:06:39.260,0:06:41.903 Okay, so that's good.[br]Well done, people, you're with me. 0:06:42.443,0:06:45.393 [Good (left) Bad (right)[br](picture - punching person)] 0:06:46.076,0:06:48.173 And that's bad. I can see you get it. 0:06:48.173,0:06:50.307 Okay, so here's a little practice for you. 0:06:50.307,0:06:54.117 [(Different pictures[br]flashing one at a time)] 0:07:05.150,0:07:06.557 Well done, everybody! 0:07:06.557,0:07:10.003 It was quite fun to watch you all[br]pointing into empty space. 0:07:10.003,0:07:12.430 So now let's play with another idea. 0:07:12.430,0:07:14.420 [Deaf (pictures), Hearing (pictures)] 0:07:14.420,0:07:16.954 If we think about the idea[br]of deaf and hearing people, 0:07:16.954,0:07:19.447 you don't have to remember the faces, 0:07:19.447,0:07:22.947 but if it's a blue-framed picture,[br]then it means they're deaf, 0:07:22.947,0:07:25.903 and if it's a yellow-framed picture,[br]it means they're hearing. 0:07:25.903,0:07:26.946 Okay? 0:07:28.491,0:07:31.451 [Deaf (left) Hearing (right)[br](blue-framed picture)] 0:07:31.451,0:07:33.600 So I'm going to do[br]exactly the same as before, 0:07:33.600,0:07:36.983 only I want you to point[br]in the space that represents deaf, 0:07:36.983,0:07:39.207 and point in the space[br]that represents hearing. 0:07:39.207,0:07:40.367 Okay, here we go. 0:07:40.367,0:07:41.926 [(Yellow-framed picture)] 0:07:41.926,0:07:43.380 Yep, you're with me. 0:07:43.380,0:07:44.423 Well done. 0:07:44.423,0:07:45.514 That was the practice. 0:07:45.514,0:07:50.694 [(Flashing pictures[br]with different colored frames)] 0:08:01.190,0:08:03.076 Okay, that was actually the practice. 0:08:03.076,0:08:07.394 Now I want to start the real experiment,[br]which has another layer of complexity. 0:08:10.350,0:08:12.470 We're going to try and mix[br]the two conditions 0:08:12.470,0:08:14.253 of deaf and hearing,[br]and good and bad. 0:08:14.253,0:08:17.953 If you see a picture -[br]a drawn picture which is good or bad - 0:08:17.953,0:08:19.556 you need to point to good or bad, 0:08:19.556,0:08:23.067 and if it's framed,[br]blue or yellow, deaf or hearing. 0:08:23.877,0:08:26.837 [(left) Deaf, Good, (right) Hearing, Bad[br](blue-framed picture)] 0:08:26.837,0:08:28.727 Right. That one's deaf. Well done. 0:08:28.727,0:08:30.020 [(punching)] 0:08:30.530,0:08:32.316 Over here is bad, yes. 0:08:32.316,0:08:34.273 Let's proceed with the next stage. 0:08:34.273,0:08:35.463 [(pictures: yellow frame) 0:08:36.023,0:08:37.023 (holding flower) 0:08:38.078,0:08:39.078 (blue frame) 0:08:40.035,0:08:41.035 (yellow frame) 0:08:42.024,0:08:43.024 (snake bite) 0:08:44.008,0:08:45.008 (hugging) 0:08:46.040,0:08:47.040 (blue frame) 0:08:48.060,0:08:49.060 (hugging knees)] 0:08:49.270,0:08:52.977 Now I'm going to run the test again,[br]but now the fun starts. 0:08:52.977,0:08:55.500 I'm going to swap where good and bad is. 0:08:55.500,0:08:58.350 [(left) Deaf, Bad, (right) Heading, Good[br](picture: punching) 0:08:58.350,0:08:59.764 And now bad is to your right. 0:08:59.764,0:09:02.054 Okay, so let's have a go. 0:09:02.484,0:09:03.484 [(holding flower) 0:09:04.485,0:09:05.485 (yellow frame) 0:09:06.476,0:09:07.476 (car in flood) 0:09:08.501,0:09:09.501 (blue frame) 0:09:10.474,0:09:11.474 (hugging) 0:09:12.460,0:09:13.460 (blue frame) 0:09:14.453,0:09:15.453 (snake bite) 0:09:16.470,0:09:17.470 (yellow frame)] 0:09:20.454,0:09:22.467 The way we score that[br]is quite complicated, 0:09:22.467,0:09:25.717 and we have a fancy algorithm[br]to analyze the data, 0:09:25.717,0:09:28.057 and the whole point is the reaction time. 0:09:28.067,0:09:32.053 We administered this test[br]to a variety of college students. 0:09:32.053,0:09:33.663 It's a computer-based test, 0:09:33.663,0:09:36.763 and we analyzed their reaction times[br]in the different conditions. 0:09:36.763,0:09:42.111 [Results. Scale: 5 "Deaf = Good" bias[br]to -5 "Deaf = Bad" bias] 0:09:43.617,0:09:45.783 We were interested[br]in when "Deaf" and "Good" 0:09:45.783,0:09:47.743 co-occurred on the same side, 0:09:47.743,0:09:52.890 whether that correlated with somebody[br]having a strong sense of Deaf being good, 0:09:52.890,0:09:54.776 and that was an internalized value. 0:09:54.776,0:09:59.387 And if we had "Deaf" and "Bad"[br]on the same side, 0:09:59.387,0:10:02.236 then those people obviously[br]would have a slower reaction. 0:10:02.236,0:10:05.400 However, if somebody had internalized[br]the notion that Deaf was bad, 0:10:05.400,0:10:09.317 they'd have a quicker reaction time[br]when Deaf and bad were on the same side. 0:10:09.317,0:10:11.480 And we were trying to see[br]if we could use this 0:10:11.480,0:10:13.823 to rate what people's[br]internalized attitudes were, 0:10:13.823,0:10:16.470 whether they identified Deaf[br]as good or Deaf as bad. 0:10:16.470,0:10:18.597 So we split the group in half, 0:10:18.597,0:10:21.430 and we know that one side[br]has internalized the good concept, 0:10:21.430,0:10:22.700 the other bad. 0:10:24.093,0:10:29.177 So those who would say Deaf was good,[br]we would say had some protective factors, 0:10:29.177,0:10:30.464 strong resilience. 0:10:30.464,0:10:36.157 Those who thought Deaf was bad,[br]we would say they had internalized audism. 0:10:37.607,0:10:38.707 Now, you can remember 0:10:38.707,0:10:40.984 that we also had that task[br]that we administered, 0:10:40.984,0:10:43.600 the multiple choice,[br]looking at resilience. 0:10:43.600,0:10:47.920 Obviously, If they scored high,[br]that meant they had strong resilience; 0:10:47.920,0:10:50.886 a low score meant weak resilience. 0:10:50.886,0:10:54.166 [Resilience Scale Score.[br]Resisted Audism, Internalized Audism] 0:10:54.166,0:10:57.000 And we were interested to see[br]how these correlated together. 0:10:57.000,0:11:01.983 And what was interesting[br]is those who saw Deaf as good 0:11:01.983,0:11:04.804 scored the same level of resilience[br]as their hearing peers. 0:11:04.804,0:11:10.413 [(Same scale) Strong resilience = 80,[br]Weak resilience = 60. 0:11:10.413,0:11:12.243 internalizing audism is a risk factor] 0:11:12.243,0:11:15.233 Which was not the same[br]for those who saw Deaf as bad. 0:11:15.233,0:11:19.843 They clearly had internalized[br]audism and had weak resilience. 0:11:19.843,0:11:22.663 So what appeared to be[br]the protective factors? 0:11:22.663,0:11:26.303 For us, we thought actually looking[br]at Deaf Studies was an important field. 0:11:26.303,0:11:29.700 And we often see notions[br]of use of sign language, 0:11:29.700,0:11:31.367 involvement in the Deaf community, 0:11:31.367,0:11:34.817 and we wanted to see[br]if those were relevant to our groups. 0:11:34.817,0:11:36.236 [our hypothesis: 0:11:36.236,0:11:38.796 1. Deaf acculturation[br]2. sign language skills] 0:11:38.797,0:11:43.666 So again, let's think about how we can[br]measure notions like Deaf culture. 0:11:43.666,0:11:47.630 There is a test which is actually[br]developed by a colleague 0:11:47.630,0:11:49.940 here at Gallaudet University,[br][Deb Maxwell-Macaw] 0:11:49.940,0:11:51.430 in the psychology department, 0:11:51.430,0:11:54.500 and it asks questions[br]about your values, your behaviors, 0:11:54.500,0:11:56.383 your involvement in the Deaf community, 0:11:56.383,0:11:58.887 your involvement[br]in mainstream events, for example. 0:12:00.200,0:12:03.060 And again, in this graph,[br]we saw if there was a high score, 0:12:03.060,0:12:05.576 you were highly involved[br]in the Deaf community, 0:12:05.576,0:12:08.126 had Deaf cultural aspects about you, 0:12:08.126,0:12:09.930 and a low score, not so much. 0:12:09.930,0:12:13.440 [Graph - Deaf acculturation[br]is a protective factor] 0:12:13.770,0:12:17.247 We found that those who had[br]high levels of [resilience] 0:12:17.247,0:12:20.340 were people who socialized[br]within the Deaf community. 0:12:20.340,0:12:22.683 [American Sign Language[br]Sentence Reproduction Test 0:12:22.683,0:12:25.033 Hauser, Paludneviciene,[br]Supalla, & Bavelier, 2008] 0:12:25.033,0:12:27.703 We were also interested[br]in looking at sign skills. 0:12:27.703,0:12:33.974 A team of us were involved[br]in developing a sign skills test. 0:12:33.974,0:12:35.390 [Dr. Raylene Paludneviciene 0:12:35.390,0:12:38.757 from the psychology department[br]here at Gallaudet was involved in that.] 0:12:39.533,0:12:43.690 And on this [scale] you can see[br]high levels of ASL fluency 0:12:43.690,0:12:45.556 and low levels of fluency. 0:12:45.556,0:12:48.767 [Graph - y axis: ASL Score,[br]x axis: Resisted vs. Internalized Audism 0:12:48.767,0:12:50.827 Sign language skills[br]is a protective factor] 0:12:50.827,0:12:54.097 Those who had stronger[br]levels of [resilience and resisted audism] 0:12:54.097,0:12:56.290 also had better signing skills. 0:12:56.290,0:13:00.306 So it seems that signing[br]seems to be a protective factor. 0:13:00.306,0:13:02.786 [Deaf Capital Theory[br]Listman, Rogers, & Hauser, 2011] 0:13:03.357,0:13:05.567 So why is it important[br]to use sign language 0:13:05.567,0:13:07.433 and be involved in the Deaf community? 0:13:07.433,0:13:11.417 Well, our theory is[br]it's about Deaf capital. 0:13:11.930,0:13:14.224 And by "capital"[br]I mean knowledge and skills 0:13:14.224,0:13:16.583 that you get from the Deaf community. 0:13:17.293,0:13:20.206 It's almost like a toolbox[br]that you can carry around with you. 0:13:20.206,0:13:21.750 When you meet other Deaf people, 0:13:21.750,0:13:25.897 you gain knowledge from their experience[br]of navigating the world. 0:13:25.897,0:13:30.194 And so when you're out in school[br]and something happens that's frustrating, 0:13:30.194,0:13:33.180 you have the tools with you[br]to be able to deal with that. 0:13:35.127,0:13:37.718 [Pie charts - Parents' hearing status:[br]Deaf parent - 4% 0:13:37.718,0:13:39.158 Mitchell & Karchmer, 2002 0:13:39.158,0:13:41.618 Parents who sign: Sign 23%,[br]No Data 5%, No Sign 72% 0:13:41.618,0:13:44.213 Gallaudet University Research Institute[br]2009-2010 Data] 0:13:44.213,0:13:46.930 And you may have remembered[br]at the beginning, 0:13:46.930,0:13:49.390 I mentioned the term "linguisticism." 0:13:50.170,0:13:51.664 I think that is the problem: 0:13:51.664,0:13:55.066 Many people don't value ASL. 0:13:55.516,0:14:00.963 We know so many deaf people[br]are actually born without deaf parents, 0:14:00.963,0:14:02.740 and they don't have Deaf capital. 0:14:02.740,0:14:05.110 They don't have exposure[br]to sign language. 0:14:05.910,0:14:09.614 Of hearing families,[br]less than 25% use sign language, 0:14:09.614,0:14:12.674 which means many deaf children grow up 0:14:12.674,0:14:15.707 with very poor,[br]impoverished language skills, 0:14:15.707,0:14:18.110 so that seems to be a risk factor. 0:14:18.377,0:14:19.538 So in summary ... 0:14:19.538,0:14:20.569 [Same pie charts. 0:14:20.569,0:14:24.271 Graph with arrows in.[br]Internalizing Audism is a Risk Factor. 0:14:24.271,0:14:25.611 Graph with arrows out. 0:14:25.611,0:14:29.369 Deaf Acculturation and Sign Language[br]Skills are Protective Factors 0:14:29.369,0:14:32.969 Conclusion: audism = Bad;[br]linguisticism = Bad; 0:14:32.969,0:14:36.400 Deaf acculturation = Good;[br]learning sign language = Good] 0:14:36.400,0:14:39.734 The reason, I think, audism[br]and linguisticism still happens today 0:14:39.734,0:14:42.623 is because society doesn't know 0:14:42.623,0:14:44.927 that ASL and involvement[br]in the Deaf community 0:14:44.927,0:14:46.110 is important to us. 0:14:46.110,0:14:47.590 We need to educate them. 0:14:47.590,0:14:49.834 We need to mentor young deaf children, 0:14:49.834,0:14:51.020 young deaf adults, 0:14:51.020,0:14:53.234 so that they can in turn educate, lead, 0:14:53.234,0:14:55.603 educate other people[br]and become leaders of change. 0:14:55.603,0:14:57.073 Thank you very much.