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Record W2071263497 · doi:10.1111/jar.12039

Pathways into the Criminal Justice System for Individuals with Intellectual Disability

2013· article· en· W2071263497 on OpenAlexafffund
Poonam Raina, Tamara Arenovich, Jessica Jones, Yona Lunsky

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsQueen's UniversityUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsIntellectual disabilitySituational ethicsCriminal justiceIntervention (counseling)PsychologyPsychiatryEconomic JusticeCrisis interventionResidencePsychological interventionBorderline intellectual functioningClinical psychologyCriminologySocial psychologyPolitical scienceDemographySociologyLaw

Abstract

fetched live from OpenAlex

BACKGROUND: Studies focusing on pathways in the criminal justice system for individuals with intellectual disability are limited in that they only study individuals once they are involved in the system and do not consider the pathways into it. The purpose of this study is to examine predisposing factors that lead to various outcomes for individuals with intellectual disability when police are called to respond to their behavioural crises. METHOD: The current study examined the outcome of police response to 138 individuals with intellectual disability in crisis. Following police intervention, 15 individuals were arrested, 76 were taken to the emergency department and 47 received on-scene resolution. Comparisons between the three groups were conducted. RESULTS: The three groups differed in terms of residence at the time of crisis, history of forensic involvement and type of crisis. Police intervention with adults with intellectual disability can happen for different reasons. Both individual and situational predictors explained this outcome.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.115
GPT teacher head0.378
Teacher spread0.263 · 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 designQualitative
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

Citations29
Published2013
Admission routes2
Has abstractyes

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Same venueJournal of Applied Research in Intellectual DisabilitiesSame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207