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Record W3004554256 · doi:10.24095/hpcdp.40.2.04f

Aperçu - Cadre des indicateurs de surveillance de la maltraitance envers les enfants

2020· article· fr· W3004554256 on OpenAlexaffvenueabout
Aimée Campeau, Shazmeera Qadri, Farah Barakat, Gabriella Williams, Wendy Hovdestad, Maaz Shahid, Tanya Lary

Bibliographic record

VenuePromotion de la santé et prévention des maladies chroniques au Canada · 2020
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsPublic Health Agency of Canada
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Le portefeuille de la santé du gouvernement du Canada effectue la surveillance de la violence envers les enfants en tant que problème de santé publique depuis les années 1990. L’Agence de la santé publique du Canada (ASPC) publie aujourd’hui le Cadre d’indicateurs de la maltraitance envers les enfants, qui prend place aux côtés d’autres cadres publiés par l’ASPC, comme le Cadre d’indicateurs de surveillance du suicide. Fondé sur un examen de la portée de revues de la littérature et de méta-analyses, ce cadre, avec l’outil interactif de données en ligne, présente des indicateurs de résultats et des facteurs de risque et de protection de la maltraitance envers les enfants, selon le sexe, l’âge et diverses variables sociodémographiques, aux échelles individuelle, familiale, communautaire et sociétale. Il va constituer une ressource précieuse en lien avec un problème qui affecte au moins un adulte canadien sur trois.

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)0.015
metaresearch head score (Gemma)0.043
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.315
Threshold uncertainty score0.633

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.312
Teacher spread0.293 · 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
GenreOther

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

Citations2
Published2020
Admission routes3
Has abstractyes

Explore more

Same venuePromotion de la santé et prévention des maladies chroniques au CanadaSame topicChild Abuse and TraumaFrench-language works237,207