MétaCan
Menu
Back to cohort
Record W1975279068 · doi:10.3109/13668250.2012.685149

Relationship between prior legal involvement and current crisis for adults with intellectual disability

2012· article· en· W1975279068 on OpenAlex

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

VenueJournal of Intellectual & Developmental Disability · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsQueen's UniversityCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsIntellectual disabilityAggressionPsychologyPopulationPsychiatryMedicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals with intellectual disability (ID) and legal involvement are a unique population with complex needs. To date, there has been limited research exploring the demographic and clinical profiles of individuals with ID and legal involvement that are in crisis and how they differ to individuals with ID without legal involvement. METHOD: 130 adults with ID and a history of legal involvement were compared to 617 without legal involvement who had experienced at least one crisis in terms of crisis presentation and outcome. RESULTS: Overall, those with a known history of legal involvement were younger, higher functioning and more likely to be male and living in unsupported settings. Legal history was not a significant predictor of crisis involving aggression but was a significant predictor of police response to crisis, when other variables were controlled for. CONCLUSIONS: Adults with ID and legal history may be more likely to have police respond to their crises than other individuals. Understanding the unique profiles of those with legal history can inform the development of services targeted towards offenders with ID.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.345
Teacher spread0.278 · 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