Circumscribed interests and ‘offenders’ with autism spectrum disorders: a case-control study
Bibliographic record
Abstract
The possibility that circumscribed interests, one of the features of the core clinical phenotype of autism spectrum disorders, may be related to offending and other behaviour bringing individuals into contact with the criminal justice system has not been investigated systematically. We compared the circumscribed interests of a group of 21 intellectually able ‘offenders’ with autism spectrum disorders with those of 23 men and women with no such history. As expected, the ‘offenders’ were significantly (p < 0.05) more likely to report interests rated as having a ‘violent’ content. Moreover, for some (29%) participants, the ‘index offence’ seemed to be related to his or her interest(s); however, the nature of these relationships varied widely. We need to develop (a) an appropriate methodology to collect more detailed information about circumscribed interests, and (b) investigate the impact of treatment and support strategies informed by a more nuanced understanding of the relevance of circumscribed interests.
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 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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".