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Record W2167543750 · doi:10.7202/1017466ar

Perception de la fréquence d’apparition des comportements perturbateurs par des stagiaires en enseignement de l’éducation physique et à la santé (EPS)

2013· article· fr· W2167543750 on OpenAlexaffvenue
Jean-François Desbıens, Séverine Lanoue, Sylvain Turcotte, Jean-Sébastien Tourigny, Carlo Spallanzanı

Bibliographic record

VenueNouveaux cahiers de la recherche en éducation · 2013
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

Les enseignants débutants en éducation physique et à la santé (EPS) ont des habiletés insuffisantes pour gérer efficacement la complexité des situations d’apprentissage. Leurs capacités d’observer les éléments pertinents des situations, de les traiter et de les interpréter sont limitées. Cette étude consacrée à des stagiaires finissants avait pour objectifs spécifiques de : 1) comparer la fréquence perçue et effective des comportements perturbateurs (CP) selon leur nature; 2) comparer la fréquence perçue et effective des CP selon leur moment d’apparition. Les résultats montrent que les perceptions des stagiaires finissants sont variables et qu’elles ne correspondent pas fidèlement aux CP effectivement dénombrés selon le degré d’intensité de ces derniers. Cependant, elles reflètent de manière fiable leur moment d’apparition. Le poids des CP dans l’économie de la séance n’est apparemment pas uniquement lié à leur seule fréquence, mais à d’autres facteurs qui restent à approfondir. Les auteurs proposent en conclusion des pistes d’améliorations des dispositifs de formation initiale à l’enseignement afin que les stagiaires deviennent de meilleurs observateurs et interprètes des comportements des élèves.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0030.002
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 head0.091
GPT teacher head0.429
Teacher spread0.338 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations11
Published2013
Admission routes2
Has abstractyes

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