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Record W4413781839 · doi:10.7202/1119021ar

L’orchestre à l’école et les capacités d’autorégulation des élèves de primaire1

2025· article· fr· W4413781839 on OpenAlexvenueno aff
Manon Ballester, Pascal Terrien, Daniele Schön, Jonathan Mirault

Bibliographic record

VenueRevue musicale OICRM · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesPolitical science

Abstract

fetched live from OpenAlex

L’orchestre à l’école est un dispositif extrascolaire qui permet aux élèves de pratiquer la musique au sein de l’établissement à des moments spécifiques de la semaine. Jouer d’un instrument sollicite de nombreuses capacités sociales et cognitives chez un enfant. Des études ont mis en évidence qu’une pratique régulière d’un instrument de musique améliore les fonctions perceptives et motrices de l’apprenant. Partant de ces constats, la pratique régulière de la musique favoriserait les transferts cognitifs et exercerait ainsi une influence sur les capacités de raisonnement de l’élève, notamment en contribuant à développer ses processus d’autorégulation. Cette étude compare les activités de raisonnement d’élèves de 9-10 ans, musiciens et non musiciens, sur une résolution de problème en mathématiques, afin de vérifier si la pratique instrumentale vécue au sein de l’orchestre à l’école influence les processus d’autorégulation.

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)0.004
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.054
GPT teacher head0.272
Teacher spread0.219 · 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
Published2025
Admission routes1
Has abstractyes

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