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Record W2793925810 · doi:10.7202/1043352ar

La relation entre les problèmes de comportement et le surplus de poids chez des enfants québécois d’âge préscolaire : une étude transversale

2018· article· fr· W2793925810 on OpenAlexaffvenueabout
Nancy Leblanc, Vicky Drapeau

Bibliographic record

VenueEnfance en difficulté · 2018
Typearticle
Languagefr
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Cette étude transversale examine la relation entre les problèmes de comportement intériorisés et extériorisés et le surplus de poids chez des enfants québécois âgés de 3 à 5 ans. En tout, 330 parents ont rempli la version canadienne-française de la Child Behavior Checklist for Ages 1.5-5. Les enfants ont été classés dans la catégorie poids normal (3e au 85e centile) ou surplus de poids (> 85e centile). Les filles ayant un poids normal présentent des scores significativement plus élevés que les filles ayant un surplus de poids quant aux comportements intériorisés totaux ainsi qu’aux sous-échelles anxiété/dépression et retrait social. Pour les comportements extériorisés, aucune différence significative n’est observée parmi les enfants. Des études longitudinales sur la relation entre les problèmes comportementaux et le surplus de poids en bas âge sont nécessaires, afin de mieux documenter l’émergence et la direction de cette relation ainsi que les mécanismes impliqués.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.014
GPT teacher head0.306
Teacher spread0.292 · 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 designObservational
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
Published2018
Admission routes3
Has abstractyes

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