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Record W2220314116

Échange d’information outre-frontière sur la santé mentale

2015· article· fr· W2220314116 on OpenAlexaboutno aff
Padraic Carr, Renée L. Binder

Bibliographic record

VenuePubMed Central · 2015
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

L’American Psychiatric Association et l’Association des psychiatres du Canada conviennent que l’echange sans condition d’information concernant l’aide de la police pour des problemes de sante mentale soupconnes avec le Centre d’information de la police canadienne (CIPC) menace le droit au respect de la vie privee du patient. En outre, la distribution subsequente de ces dossiers aux autorites frontalieres americaines sans examen ou lignes directrices peut entrainer la discrimination fondee sur la maladie mentale. Il est imperatif que des criteres soient etablis afin de guider les agences canadiennes dans l’utilisation des donnees du CIPC, et de conseiller les services de police canadiens dans la gestion des renseignements medicaux de nature delicate, de sorte que la confidentialite des dossiers medicaux soit protegee.

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)0.018
metaresearch head score (Gemma)0.059
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: Empirical · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.059
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.011
Science and technology studies0.0050.006
Scholarly communication0.0070.006
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0320.004

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 head0.031
GPT teacher head0.241
Teacher spread0.211 · 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
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

Citations1
Published2015
Admission routes1
Has abstractyes

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Same venuePubMed CentralSame topicHistorical and Scientific StudiesFrench-language works237,207