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Record W55794339 · doi:10.1177/070674370104600401

Clinically Significant Differences among Canadian Mental Health Acts

2001· review· en· W55794339 on OpenAlexaffvenueabout
John E. Gray, Richard L. O’Reilly

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2001
Typereview
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsWestern UniversityMinistry of Health
Fundersnot available
KeywordsMental healthMental Health ActLegislationCharterDignityMental illnessAppealHuman rightsMedicinePsychiatryPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

OBJECTIVES: First, to highlight the major differences among mental health acts in different Canadian jurisdictions as they relate to involuntary admission criteria, treatment authorization, review and appeal procedures, and conditional leave and community treatment orders. Second, to analyze the impact of these differences on the care that individuals with mental illness receive. METHOD: We examined the mental health act provisions of all Canadian jurisdictions to determine how the clinical management of a typical case would differ among jurisdictions. We used a statement of principles for mental health legislation endorsed by the Canadian Psychiatric Association to guide the analysis. We confirmed interpretation of each act and its implementation through key informant contact in each province and territory. RESULTS: We found clinically significant differences among the provinces and territories on all major components of their mental health acts. CONCLUSION: Provisions that prevent patients receiving appropriate clinical care can be found in some Canadian mental health acts. Alternate provisions that support appropriate clinical care, that respect the human rights and personal dignity of patients, and that are consistent with the Canadian Charter of Rights and Freedoms can be found in the legislation of other jurisdictions.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.112
GPT teacher head0.428
Teacher spread0.315 · 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 designNot applicable
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

Citations45
Published2001
Admission routes3
Has abstractyes

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