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Record W3177455953 · doi:10.25518/sepaps20.251

Portrait d’interventions favorisant l’adoption d’un mode de vie physiquement actif en contexte scolaire au Canada

2021· article· fr· W3177455953 on OpenAlexaboutno aff
M. Dubuc, Roger Joseph LeBlanc, Félix Berrigan, Sylvie Beaudoın, Horia-Daniel Iancu, Penelopia Iancu, Vicky Bouffard-Levasseur, Sylvain Turcotte

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Au Canada, il y a présentement une effervescence dans la mise en place d’interventions favorisant l’adoption d’un mode de vie physiquement actif en contexte scolaire, que ce soit à partir de mesures issues de politiques, des curricula scolaires ou de programmes développés pour répondre à ce besoin. L’objectif de cette communication est de l’illustrer à partir de deux études portant sur ces interventions. Dans la première étude, 66 intervenants et 139 élèves provenant de 16 écoles secondaires de la province de Québec ont été interrogés afin d’identifier leurs besoins relativement à l’implantation d'interventions favorisant la pratique régulière d’activités physiques. La deuxième étude porte sur un projet pilote communautaire réalisé dans la province du Nouveau-Brunswick et vise à mieux comprendre comment mobiliser une population entière face à un niveau d’activité physique bénéfique pour la santé des enfants d’âge scolaire, des adultes en milieu de travail et des personnes aînées en milieux associatifs.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.674

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0080.005
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.323
Teacher spread0.294 · 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
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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