A Case Series of Five Individuals with Asperger Syndrome and Sexual Criminality
Bibliographic record
Abstract
The prevalence of autism spectrum disorders has increased in recent years and so has the focus on high functioning autism and Asperger syndrome. A subset of Asperger individuals appears to have a propensity to engage in acts of violence, particularly sexual crimes, which may best be attributed to the core features of their pathology such as “mind-blindness” and paucity of central coherence. This paper is an account on five such cases encountered in our hospital for whom various assessments were done including Mini International Neuropsychiatric Interview, intelligence quotient assessment by Binet Kamat test of intelligence, Montreal Cognitive Assessment, Ritvo Asperger’s and Autism Diagnostic Scale, and Gillberg’s criteria for diagnosis. These cases gained legal attention and “undeserved” outcomes. By drawing parallels from other countries, a few suggestions have been highlighted in the paper that can be considered to discard glaring deficits in the criminal law system in India in this context.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".