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Record W1998188246 · doi:10.7202/037880ar

Le programme Intervention-suicide en milieu scolaire primaire

2009· article· fr· W1998188246 on OpenAlexaffvenue
Marc Daigle, Rodrigue Gallagher

Bibliographic record

VenueFrontières · 2009
Typearticle
Languagefr
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversité du Québec à Trois-RivièresInstitut national de psychiatrie légale Philippe-PinelUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article présente les résultats de l’évaluation de l’implantation du programme Intervention-suicide en milieu scolaire primaire . Les principales forces de ce programme résident dans sa spécificité, l’articulation du travail du personnel scolaire et des intervenants professionnels, la motivation, l’engagement et la diligence de ses partenaires, le professionnalisme des intervenants, l’expertise et la motivation particulière du responsable du programme, la qualité de la documentation disponible, la qualité des formations et sensibilisations dispensées, l’utilisation des forces d’intervention de la santé et de l’éducation, la diversité des expertises et expériences chez les intervenants, l’ouverture à la critique et la modération dans l’interprétation du phénomène suicidaire dans les actions à prendre. Des faiblesses relatives sont cependant notées au regard des aspects suivants : le partage des responsabilités, le manque d’information explicite dans les guides sur les objectifs, la structure et les fondements théoriques du programme, les formations trop courtes offertes aux intervenants, la dilution de l’expertise des intervenants, l’isolement de certains de ceux-ci, l’absence fréquente de leadership dans les équipes de secteur, et le décalage dans la durée de la formation clinique des intervenants.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.021
GPT teacher head0.307
Teacher spread0.286 · 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
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
Published2009
Admission routes2
Has abstractyes

Explore more

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