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Record W1826511065

Bill C-14: A Step Backwards for the Rights of Mentally Disordered Offenders in the Canadian Criminal Justice System

2014· article· en· W1826511065 on OpenAlexaboutno aff
Lisa Grantham

Bibliographic record

VenueAppeal: Review of Current Law and Law Reform · 2014
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsCommitCriminal justiceMental illnessGovernment (linguistics)CriminologyCriminal lawLawEconomic JusticePsychologyPolitical scienceMental healthPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The Canadian criminal justice system has long grappled with those who commit criminal acts while suffering from a mental disorder. As stated by Justice McLachlin (as she then was) in Winko v British Columbia (Forensic Psychiatric Institute) (“Winko”), “[i]n every society there are those who commit criminal acts because of mental illness. The criminal law must find a way to deal with these people fairly, while protecting the public against further harms. The task is not an easy one.”1 The task has certainly not been an easy one to date with lawmakers struggling to strike the appropriate balance between protecting the public and respecting the liberty of mentally disordered offenders. In 1992, this balance was achieved with the disposition scheme for offenders found not criminally responsible on account of mental disorder (NCRMD). Unfortunately, Bill C-14 will change the existing regime and could negatively impact both the criminal justice and the mental health system.2 This paper will outline the origins of the mental disorder defence in Canada, examine how the NCRMD scheme currently operates, discuss a recent case involving a NCRMD accused, and finally analyze the proposed amendments. Sensationalistic cases involving mentally disordered offenders combined with a lack of understanding by the public as to how the mental disorder defence operates have caused the current government to push for unnecessary and unconstitutional amendments to the NCRMD regime.

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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.610

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0110.017
Scholarly communication0.0100.003
Open science0.0040.002
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.381
Teacher spread0.323 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations6
Published2014
Admission routes1
Has abstractyes

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Same venueAppeal: Review of Current Law and Law ReformSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207