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Record W4406141262 · doi:10.7202/1115115ar

Apprentissage en ligne en contexte de diversité culturelle et linguistique à l’école secondaire de langue française en Ontario

2024· article· fr· W4406141262 on OpenAlexaffvenueabout
Fatou Cissé, Nathalie Bélanger

Bibliographic record

VenueEnjeux et société Approches transdisciplinaires · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article porte sur la conception et l’enseignement de cours en ligne dans le contexte de l’école secondaire de langue française en Ontario relativement à la reconnaissance de la diversité culturelle et linguistique des élèves. Des entretiens auprès de membres responsables de la conception des cours et du personnel enseignant ont été menés. L’analyse s’intéresse aux paradigmes et aux approches qui guident la conception de cours en ligne, à la flexibilité et à la variété de leurs composantes, à la communication qui y est prévue et à la sensibilité culturelle qui en ressort. Les résultats révèlent des approches et des pratiques qui exploitent peu ou mal certaines composantes disponibles et limitent l’apport même des élèves dans la construction des connaissances et la reconnaissance de la variété linguistique.

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)0.003
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 score0.065
Threshold uncertainty score0.470

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0150.008
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.012
GPT teacher head0.286
Teacher spread0.275 · 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
Published2024
Admission routes3
Has abstractyes

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