Pathology persists and stigma stays: representations of (autistic) Stephen Greaves in the post-apocalyptic world
Bibliographic record
Abstract
This paper is an analysis of the depiction of autism in The Boy on the Bridge, a post-apocalyptic, dystopian, horror, fiction novel to critically deconstruct the representation of autism specifically related to 15-year-old science prodigy Stephen Greaves. Using a critical content analysis approach, three relevant constructs were identified with depictions including savant/super-crip, non-human othering, and psycho-emotional disablism. Each of these areas is discussed related to the current literature on disability, generally, and autism, more specifically. This analysis demonstrates that cultural understandings of disability are dominated by the medical model, and continue to stigmatize and pathologize while excluding positive social identities. Consideration of the potential damaging aspects of literature portrayals of autism in fictional works is needed to move the autism genre forward in a humanizing and inclusive manner.Points of interestThis study brings awareness to some assumptions around disability by pulling apart one way that autism is presented for public understanding.Even fictional stories can play a role in awareness and understanding of disability such as knowing that autistic people can also be gifted.Notions such as savantism are presented and discussed to help readers understand the various layers in disability.Disability can be presented positively and/or negatively in popular media in both obvious and subtle ways.It is up to readers and viewers to carefully consider how information on disability from popular media might be biased.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".