What do philosophers talk about when they talk about autism?
Bibliographic record
Abstract
Abstract Several anecdotal claims about the relationship between philosophical discourse and the subject of autism have been forwarded in recent years. This paper seeks to verify or debunk these descriptive claims by carefully examining the philosophical literature on autism. We conduct a comprehensive scoping review to answer the question, what do philosophers talk about when they talk about autism? This empirical work confirms that the philosophy of autism is underdeveloped as a subfield of philosophy. Moreover, the way that philosophers engage with autism is often unreflective and uncritical. As a result, much work in the discipline serves to perpetuate pathologising, dehumanising, and stigmatising misinformation about autistics and autistic behaviour. By highlighting the significant gaps in the philosophical literature on autism, this review aims to deepen our understanding of philosophical thought surrounding autism and contributes to ongoing dialogues pertaining to neurodiversity, madness, and disability rights more generally.
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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 | 0.026 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| 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".