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Record W4390338090 · doi:10.3917/sta.pr1.0018

10.3917/sta.pr1.0018

2000· article· en· W4390338090 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Inscrite dans le paradigme de l’action didactique conjointe, cette étude s’intéresse à l’évolution des prestations motrices d’élèves au cours d’une séquence de volley-ball menée par un professeur des écoles en Éducation Physique et Sportive (EPS) au cycle 3 de l’école primaire (10-11 ans). Elle met en lien ces éventuelles transformations avec les milieux didactiques que l’enseignant a proposés et que les apprenants ont investis de façon singulière. Entretiens et observations sur la durée de la séquence ont permis de mener des analyses qualitatives et quantitatives, à la fois sur l’action didactique de l’enseignant et sur les prestations motrices des élèves. Les analyses comparées entre début et fin de séquence permettent de mettre au jour des indices d’acquisitions dans les domaines tactiques et techniques qui renvoient à de nouveaux pouvoirs moteurs. Elles confirment que cette activité sportive, relativement peu programmée à l’école élémentaire, peut être le support d’une EPS riche, à condition toutefois que soit opéré par l’enseignant un traitement didactique donnant la priorité à la construction des habiletés tactiques.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.113
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0090.004
Open science0.0020.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.8870.904

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 head0.105
GPT teacher head0.386
Teacher spread0.281 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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