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Record W4221024907 · doi:10.18192/olbij.v11i1.6182

Proposition d’hybridation de la perspective actionnelle et de la pédagogie des multilittératies : une nouvelle voie pour la formation des migrants en France ?

2022· article· fr· W4221024907 on OpenAlexvenueno aff
Amélie Cellier

Bibliographic record

VenueOLBI Journal · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophySociology

Abstract

fetched live from OpenAlex

La fin du 20e siècle a vu naître deux nouvelles méthodes d’enseignement et d’apprentissage. La première, la pédagogie des multilittératies, est l’oeuvre d’un groupe de dix universitaires révoltés contre les inégalités sociales à l’école. La seconde, la perspective actionnelle, est un projet politique et économique européen d’enseignement et d’évaluation des langues. Je propose dans cet article de les concilier à travers une réflexion sur la notion de médiation. Il s’agira de montrer à partir de mises à l’essai menées en contexte universitaire que l’hybridation entre la perspective actionnelle et la pédagogie des multilittératies peut être envisagée par les formateurs linguistiques de l’Office français de l’immigration et de l’intégration comme une amélioration possible de leurs pratiques enseignantes. Sur le long terme, cette mise en application aurait pour conséquence de faire de la différence et de la diversité des vecteurs d’apprentissages et d’enseignements inclusifs.

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)0.013
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.018
Scholarly communication0.0110.009
Open science0.0010.007
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.021
GPT teacher head0.367
Teacher spread0.345 · 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 designTheoretical or conceptual
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 routes1
Has abstractyes

Explore more

Same venueOLBI JournalSame topicFrench Language Learning MethodsFrench-language works237,207