MétaCan
Menu
Back to cohort
Record W4412095141 · doi:10.1017/s1092852925100321

Canadian mental health laws: a review of involuntary admission and treatment pending appeal

2025· review· en· W4412095141 on OpenAlexaffabout
Karen Shin, Nicole Fielding, Mathieu Dufour, John Gray

Bibliographic record

VenueCNS Spectrums · 2025
Typereview
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité de MontréalCentre for Addiction and Mental HealthSchizophrenia Society of OntarioUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsAppealInvoluntary treatmentMental healthLawPolitical sciencePsychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

This review article explores the legislative differences across Canadian jurisdictions with respect to involuntary admission and treatment pending appeal. Some jurisdictions restrict involuntary admission for mental illness to when there is a risk for serious bodily harm or physical impairment. However, the majority of jurisdictions recognize non-bodily harms or substantial mental or physical deterioration as grounds for involuntary admission when other criteria are met. Once a person is involuntarily admitted, jurisdictions differ on how treatment is authorized and whether treatment can commence while a person contests a finding of incapacity to treatment to the courts. Some jurisdictions permit treatment pending appeal while others do not. This article compares Canadian jurisdictions' mental health legislation and addresses discrepancies through the lens of the Canadian Charter of Rights and Freedoms and the Canada Health Act.

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)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.127
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0120.016
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.066
GPT teacher head0.448
Teacher spread0.382 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueCNS SpectrumsSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207