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Record W4312440871 · doi:10.7202/1090212ar

Développer la communication orale en français L2 en milieu autochtone : projet réalisé auprès d’apprenants de sixième année du primaire

2022· article· fr· W4312440871 on OpenAlexaffvenue
Gregory Nutefe Kwadzo

Bibliographic record

Venue˜La œRevue de l'AQEFLS/Revue de l'AQEFLS · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsKahnawake Schools Diabetes Prevention Project
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

De nombreux théoriciens se penchent sur le développement des compétences de communication orale en L2 depuis longtemps. Cependant, alors qu’à peu près tout le monde s’entend sur la nécessité de développer la compétence communicative à l’oral chez les apprenants des L2, les approches utilisées ne font pas l’unanimité. En effet, dans bien des cas, la tendance consiste à utiliser l’une ou l’autre des approches à la mode, car le choix d’une approche n’est pas facile. C’est pourquoi, dans le cadre d’un projet visant à faire acquérir le français oral à des apprenants de sixième année en milieu autochtone mohawk, le choix d’utiliser une approche en fonction du contexte sociolinguistique est tempéré par l’utilisation d’une autre approche dont les assises théoriques ne se définissent pas en fonction du contexte sociolinguistique. Plutôt que d’opter pour une approche ou une autre, cet article illustre la pertinence d’utiliser des aspects de deux approches pour développer la compétence en communication orale chez les apprenants, l’approche neurolinguistique et l’approche actionnelle.

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)0.017
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0050.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.293
Teacher spread0.270 · 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 designNot applicable
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
Published2022
Admission routes2
Has abstractyes

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Same venue˜La œRevue de l'AQEFLS/Revue de l'AQEFLSSame topicFrench Language Learning MethodsFrench-language works237,207