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Record W4302763438 · doi:10.3917/drs1.111.0357

Au tribunal des risques. Contrôle, autocontrôle et tensions juridiques à la Commission d’examen des troubles mentaux (Québec, Canada)

2022· article· fr· W4302763438 on OpenAlexaffabout
Nicolas Sallée, Emmanuelle Bernheim, Guillaume Ouellet, Pierre Pariseau‐Legault

Bibliographic record

VenueDroit et société · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec en OutaouaisMental Health Research CanadaUniversité de MontréalMinistère de l’Emploi et de la Solidarité Sociale (Québec)Université du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article porte sur le suivi de personnes préalablement déclarées inaptes à subir leur procès ou criminellement non responsables en raison de troubles mentaux. Au Québec, depuis 1992, ce suivi revient à une instance du tribunal administratif dont les décisions, centrées sur une évaluation des risques pour la sécurité publique, peuvent aboutir à une libération des personnes ou à leur détention à l’hôpital. En nous appuyant sur une enquête ethnographique, nous décrivons la Commission comme un dispositif de contrôle (et d’autocontrôle) au sein duquel la voie médiane de la libération sous conditions joue un rôle pivot. Les pratiques des avocats de la défense, marquées par la prégnance d'une posture paternaliste, témoignent alors de la force d’un dispositif susceptible d’imposer sa logique jusqu’à ses acteurs a priori les plus adverses.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.016
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.130
GPT teacher head0.430
Teacher spread0.301 · 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 designQualitative
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

Citations3
Published2022
Admission routes2
Has abstractyes

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