Autism, theory of mind, and the reactive attitudes
Bibliographic record
Abstract
Whether to treat autism as exculpatory in any given circumstance appears to be influenced both by models of autism and by theories of moral responsibility. This article looks at one particular combination of theories: autism as theory of mind challenges and moral responsibility as requiring appropriate experience of the reactive attitudes. In pursuing this particular combination of ideas, we do not intend to endorse them. Our goal is, instead, to explore the implications of this combination of especially prominent ideas about autism and about moral responsibility. These implications can be quite serious and practical for autists and those who interact directly with autists, as well as for broader communities as they attend to the fair, compassionate, and respectful treatment of increasing numbers of autistic adults. We find that these theories point to a limited range of situations in which autists should not be blamed for transgressive actions for which neurotypical individuals should be blamed. We build on what others have written on these issues by bringing in a recent cognitive model of the role theory of mind plays in empathy, by discussing the social implications of the theoretical findings, and by raising questions about the compatibility of reactive attitude theories of moral responsibility with the neurodiversity approach to autism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.026 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".