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Record W2267620475 · doi:10.1177/0004867415587745

Developmental typologies of serious mental illness and violence: Evidence from a forensic psychiatric setting

2015· article· en· W2267620475 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

VenueAustralian & New Zealand Journal of Psychiatry · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsMental illnessPsychiatrySpousePsychologyMentally illInjury preventionPoison controlSuicide preventionAntisocial personality disorderMental healthClinical psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify subgroups of forensic psychiatric patients based on the age onset of serious mental illness and offending and assess the external validity of the subgroups with theoretically based sociodemographic, clinical, legal and risk-related variables. METHOD: The age onset of serious mental illness and criminal contact was ascertained for a sample of 232 patients. A range of sociodemographic, clinical, legal and risk-related variables were coded to assess whether age onset subgroups differed in a manner consistent with the literature on typologies of mentally ill offenders. RESULTS: One-quarter of the sample was classified as early starters (patients whose first offense occurred before becoming mentally ill), while two-thirds were late starters (where first offense occurred following illness onset). A small percentage (8%) of patients were deemed late late starters, defined as late starters who had experienced 10+ years of illness and were >37 years upon first arrest. A larger proportion of early starters had a substance use disorder, antisocial personality disorder and a greater number of static/historical risk factors for violence. Early starters were younger upon first arrest and had more previous criminal contacts compared to late starters and late late starters. Mental illness was found to start later in life for late late starters; this group was also more likely to have been married and to have a spouse as victim in the index offense. CONCLUSION: We found support for distinct subgroups of mentally ill offenders based on the age onset of illness and criminal contact. Compared to late starters, offenses committed by early starters may be motivated more frequently by antisocial lifestyle and attitudes, as well as more instrumental behaviors related to substance abuse. In addition, late late starters may represent a distinct third subgroup within late starters, characterized by relatively higher levels of functioning and social stability; future work should replicate. Findings suggest different rehabilitation needs of the subgroups.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.323
Teacher spread0.282 · 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