Autism Spectrum Disorder in Popular Media: Storied Reflections of Societal Views
Bibliographic record
Abstract
This article explores how storied representations of characters with Autism Spectrum Disorder (ASD) are typified in a world that is increasingly influenced by popular media. Twenty commercially published children’s picture books, popular novels, mainstream television programs, and popular movies from 2006-2012 were selected using purposive, maximum variation sampling and analyzed through Krippendorff’s six-step approach to social content analysis. From this 20-unit sample, results show that television characters with ASD tend to be portrayed as intellectually stimulating geniuses who make us aspire to be like them; movies tend to show those with ASD as heroes, conquering seemingly impossible odds; novels tend to present ASD in a complex, authentic context of family and community, rife with everyday problems; picture books appear to be moving towards a clinical presentation of ASD. Common cross-categorical themes portray scientific, clinical, and/or savant-like traits that tend to glamourize challenges inherent to ASD.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".