Inspiring or Perpetuating Stereotypes?: The Complicated Case of Disability as Inspiration
Bibliographic record
Abstract
This research looks at how inspirational narratives that feature disability, also known as "inspiration porn", are interpreted by disabled and non-disabled audiences.The project usesWe're The Superhumans, a British infomercial for the 2016 Summer Paralympic Games in Rio de Janeiro, as its case study.This research is informed by social science research on disability, critical media studies literature, as well as government documents and official reports.Qualitative data were gathered through focus groups with disabled and non-disabled participants, as well as through comments posted on the infomercial's YouTube video and on Twitter, and through media coverage.The results of the study show that reactions to inspirational narratives are not uniform among disabled and non-disabled audiences and that negative perceptions of disability persist.This study provides valuable insight regarding the nuances and complexities surrounding inspiration porn and social attitudes towards disability.Summary of findings ....
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.048 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".