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Record W4395059437 · doi:10.29173/alr2686

Alberta’s Mental Health Review Panels: Accountable, Transparent Adjudication?

2022· article· en· W4395059437 on OpenAlexvenueaboutno aff
Erin M. Nelson

Bibliographic record

VenueAlberta Law Review · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
Fundersnot available
KeywordsAdjudicationMental healthBusinessPsychologyPolitical scienceLawPsychiatry

Abstract

fetched live from OpenAlex

This article examines issues of accountability and transparency in Alberta’s Mental Health Review Panel process. A person who is involuntarily admitted to a mental health facility, or who is subject to a community treatment order (CTO), can appeal to the Review Panel to have their admission certificates or CTO cancelled. This process is intended to provide access to a decision-maker to review decisions that affect the liberty of those living with mental illness. Unfortunately, Alberta’s Mental Health Review Panels are not transparent or accountable decision-makers. The article begins with a brief outline explaining the delivery of mental health care in Canada, followed by a description of Canadian law on CTOs. The article then examines Alberta’s Mental Health Review Panels — first in terms of their role in relation to CTOs, followed by concerns about accountability and transparency in the Review Panel process. Finally, the article looks at legal and system reforms that will enhance the accountability of the process.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.003

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 head0.455
GPT teacher head0.616
Teacher spread0.162 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2022
Admission routes2
Has abstractyes

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