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Record W2170646181 · doi:10.1192/apt.bp.107.005082

Asperger syndrome and criminal behaviour

2010· article· en· W2170646181 on OpenAlex
Kalpana Dein, Marc Woodbury‐Smith

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Psychiatric Treatment · 2010
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsMcMaster UniversityChedoke Hospital
Fundersnot available
KeywordsAsperger syndromeAutismPsychologyContext (archaeology)PsychiatryCriminal behaviourDevelopmental psychologyClinical psychologyCriminology

Abstract

fetched live from OpenAlex

Summary The importance of considering antisocial behaviour among people with autism-spectrum disorders is apparent from the significant number of case reports and case series describing criminal behaviour of people with a diagnosis of Asperger syndrome. The evidence so far does not support a specific association between the syndrome and criminal offending. However, a small yet significant number of offenders with autism who engage in illegal behaviour find themselves socially excluded or detained in secure provisions for prolonged periods. This article gives an overview of the scant empirical evidence relating to criminality within the context of Asperger syndrome, and offers suggestions for managing the syndrome in mentally disordered offenders.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.324
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it