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Record W3089790747 · doi:10.24095/hpcdp.31.1.07f

Rôle du secteur de la santé publique face à la maltraitance des enfants au Canada

2010· article· fr· W3089790747 on OpenAlexaffvenueabout
SM Jack

Bibliographic record

VenueMaladies chroniques au Canada · 2010
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La maltraitance des enfants est un problème de santé et de société important, compte tenu de sa prévalence dans la population générale et de ses effets pervers à court et à long termes. Une approche intégrée, concertée et plurisectorielle s’impose pour circonscrire, prévenir et contrer ce problème complexe. Dans le cadre de cette approche plurisectorielle, le secteur de la santé publique au Canada doit impérativement définir son rôle dans les mesures de lutte et de prévention. Nous présentons, dans ce commentaire, la façon dont le secteur de la santé publique pourrait aborder ce problème au Canada, à savoir : 1) déterminer l’ampleur du problème au moyen de systèmes de surveillance de la santé publique telle l’Étude canadienne sur l’incidence des signalements de cas de violence et de négligence envers les enfants; 2) circonscrire les facteurs de risque modifiables; 3) cerner et évaluer les interventions de proximité visant à prévenir la violence; 4) mettre en œuvre des stratégies de prévention primaire qui s’appuient sur des preuves.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.006
GPT teacher head0.258
Teacher spread0.253 · 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 teacher head, not a consensus.

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

Citations0
Published2010
Admission routes3
Has abstractyes

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