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Record W2466626111 · doi:10.21230/f3qp40

Intervention interdisciplinaire arts/langue : le développement de la culture francophone et d’un rapport positif à la langue

2016· article· fr· W2466626111 on OpenAlexaffvenueabout
Anne Lowe, Monique Richard

Bibliographic record

VenueÉducation Francophone en Milieu Minoritaire · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cette recherche vise comprendre quels lments d'une intervention interdisciplinaire arts/langue ont contribu au dveloppement d'un rapport positif la langue et l'enrichissement de l'exprience culturelle des lves de 6 classes de la 8 e anne d'une cole francophone du Nouveau-Brunswick. L'tude se penche sur les effets des interventions pdagogiques d'enseignantes et d'enseignants de franais, de musique et d'arts visuels. Ces derniers ont conu un projet d'intervention interdisciplinaire arts/langue o les lves, selon qu'ils taient inscrits dans le cours de musique ou dans celui d'arts visuels, ont eu l'occasion de poursuivre les objectifs et d'atteindre les rsultats d'apprentissage des programmes d'tudes de franais et de musique, ou de franais et d'arts visuels, simultanment, tout en centrant leur attention sur des musiciens et artistes de leur communaut. L'analyse qualitative des donnes recueillies par entrevues, questionnaire et observations dmontre que les interventions arts/langue ont contribu au dveloppement linguistique et culturel des lves, et que, par contre, certaines conditions sont ncessaires pour assurer le succs de l'exprience interdisciplinaire.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.332
Teacher spread0.315 · 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 designOther design
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
Published2016
Admission routes3
Has abstractyes

Explore more

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