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Record W2120616070 · doi:10.7202/1024960ar

Développement et validation d’une échelle de mesure des négociations perçues entre le professeur et ses élèves en éducation physique (ENPEP)

2014· article· fr· W2120616070 on OpenAlexvenueno aff
Jean-Philippe Dupont, Ghislain Carlier, Cécile Delens, Philippe Gérard

Bibliographic record

VenueMesure et évaluation en éducation · 2014
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Cet article présente les résultats d’une étude ayant pour objectif la construction et la validation d’une nouvelle échelle de mesure des négociations perçues entre le professeur et ses élèves en éducation physique (ENPEP). La fidélité et la validité de cette échelle ont été vérifiées auprès d’un échantillon de 549 élèves de l’enseignement secondaire supérieur en Belgique francophone. Les résultats révèlent que l’échelle possède une bonne cohérence interne et une structure factorielle conforme au cadre conceptuel postulé. Ce dernier distingue trois formes de négociation : la négociation distributive en faveur du professeur, la négociation distributive en faveur des élèves et la négociation intégrative. Cette échelle constitue un instrument pouvant être utilisé pour étudier l’activité de négociation en éducation physique, ses déterminants et ses effets.

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)0.019
metaresearch head score (Gemma)0.030
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 score0.019
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.406
Teacher spread0.340 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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