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Record W1991704002 · doi:10.7202/037881ar

Comprendre et agir sur le suicide chez les Premières Nations

2009· article· fr· W1991704002 on OpenAlexaffvenue
Michel Tousignant, Arlène Laliberté, Gilles Bibeau, Denise Noël

Bibliographic record

VenueFrontières · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Depuis trois ans, une équipe multidisciplinaire s’est engagée à réfléchir et à développer des stratégies sur la prévention du suicide en milieu autochtone dans le cadre d’un vaste programme de recherche. Une telle entreprise pose des défis inusités à toutes les étapes de son développement. Dans cet article, l’équipe de recherche indique les difficultés rencontrées et les pistes de solution élaborées. La première partie décrit la dimension épidémiologique du suicide en milieu autochtone et elle présente les premiers résultats. La deuxième partie décrit le volet prévention et fait un bilan des essais entrepris. La troisième partie résume une recherche auprès des familles visant à mieux comprendre le contexte de socialisation dans trois milieux contrastés. Suit une brève description de l’objectif de formation de jeunes chercheurs autochtones. La discussion porte sur la capacité à répondre aux besoins de la famille autochtone contemporaine.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.931
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.026
GPT teacher head0.298
Teacher spread0.273 · 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

Citations4
Published2009
Admission routes2
Has abstractyes

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Same venueFrontièresSame topicIndigenous Health, Education, and RightsFrench-language works237,207