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Record W2128294093 · doi:10.1177/070674370304800608

A Follow-up Study of Persons Found Not Criminally Responsible on Account of Mental Disorder in British Columbia

2003· article· en· W2128294093 on OpenAlexvenueaboutno aff
James Livingston, Derek A. Wilson, George Tien, Lynda Bond

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2003
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsPsychiatryForensic psychiatryPopulationForensic scienceMental healthColumbia universityPsychologyCohortMinor (academic)Criminal codeMedicineLawCriminologyCriminal lawPolitical scienceEnvironmental healthSociology

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the characteristics of individuals found not criminally responsible on account of mental disorder (NCRMD) after the 1992 Criminal Code amendments and to track their movement through the forensic system, as well as to unveil the changes to British Columbia's forensic psychiatric system that resulted from Bill C-30. METHOD: Profile information relating to persons found NCRMD between February 4, 1992, and February 4, 1998, in British Columbia was collected and analyzed. Community follow-up data was collected and analyzed for a 24-month period following a subject's discharge from hospital. RESULTS: A substantially greater number of individuals entered the forensic psychiatric system in British Columbia after Bill C-30 was implemented. The post-1992 forensic psychiatric population contained fewer persons charged with serious index offences and a greater number of persons charged with relatively minor offences. The length of hospitalization for the NCRMD cohort decreased substantially after the 1992 Criminal Code amendments. CONCLUSION: The Bill C-30 provisions have made the NCRMD defence an attractive option for defendants and legal counsel.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.292
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 teacher head, not a consensus.

Study designObservational
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

Citations57
Published2003
Admission routes2
Has abstractyes

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