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Record W2738376132 · doi:10.4103/0971-8990.210703

A Case Series of Five Individuals with Asperger Syndrome and Sexual Criminality

2017· article· en· W2738376132 on OpenAlexaboutno aff
Shankar Kumar, Yamini Devendran, Amrtavarshini Radhakrishna, Varsha Karanth, Chandrashekar Hongally

Bibliographic record

VenueJournal of Mental Health and Human Behaviour · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsnot available
Fundersnot available
KeywordsAsperger syndromeSeries (stratigraphy)PsychologyPsychiatryAutismBiology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.090
GPT teacher head0.365
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Mental Health and Human Behaviour→Same topicNeuroscience of respiration and sleep→French-language works237,207→