"Supercrip" vs human interest: Examining stereotypes towards paralympians following the viewing of Canadian paralympic committee videos
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The media typically portrays Paralympians by emphasizing their superhuman qualities (i.e. a supercrip portrayal) or the characteristics of their disability (i.e. a human interest portrayal). While these portrayals may be of interest to people without physical disabilities (PD), they are perceived negatively by people with PD. No studies have examined the effect of different types of media portrayals on disability stereotypes. Therefore, the objective of this study was to compare the effect of these two portrayals on stereotype perceptions of individuals with and without PD. Participants (n=148 with PD; n=180 without PD) watched two Canadian Paralympic Committee videos, in counterbalanced order, that presented the same Paralympian using either a supercrip or human interest portrayal. After each video, participants rated Paralympians on measures of warmth and competence, two indicators of stereotypes. A 2(disability status) x 2(video) x 2(warmth and competence) mixed model ANOVA demonstrated that people without PD rated the human interest portrayal higher in warmth (M=4.12; SD=0.64) than those with PD (M=3.89; SD=0.80; p=.014), suggesting increased presence of stereotypes towards this portrayal amongst those without PD. Furthermore, regardless of group, warmth scores were significantly higher following viewing of the human interest portrayal (M=4.01; SD=.73) compared to ratings after viewing the supercrip video (M=3.87; SD=.77; p
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it