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Record W4410345987 · doi:10.5206/mf.v10i2.22987

Pédagogies des enseignements francophones (pour vivre mieux ?)

2025· article· fr· W4410345987 on OpenAlexvenueaboutno aff
Servanne Woodward

Bibliographic record

VenueMouvances Francophones · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Ce numéro introduit à des approches pédagogiques universitaires de la littérature, en deux parties, l’une d’entre elle concernant plutôt le Canada et l’Amérique du Nord, l’autre des pays considérant que la pédagogie provient directement de l’oraliture (théâtre, contes, proverbes) ou de la littérature comme contenant en elle-même une pédagogie, parfois à contrario. Dans les disciplines littéraires, la question de langue apparaît comme un enjeu politique et identitaire, idéologique, comme un marqueur historique et identitaire par rapport à d’autres langues ou d’autres états de langue (du latin au wolof), plus encore que dans l’enseignement de la langue FLE/FLS. Ce second volet affiche deux tendances. L’une produit des exemples de cours pratiques selon une pédagogie explicative avec des exemples d’exercices pour l’acquisition d’une langue française neutre, institutionnelle (laissant le soin des particularismes locaux et identitaires aux échanges personnels, privés, familiaux); les autres appellent une pédagogie de demain, des tentatives expérimentales pour un monde en devenir ou pour des futurs possibles, ne situant pas nécessairement la francophonie comme le pôle central de l’apprentissage de la langue officielle, ni comme langue officielle, mais plutôt comme langue d’ouverture.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0040.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.025
GPT teacher head0.331
Teacher spread0.307 · 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
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
Published2025
Admission routes2
Has abstractyes

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