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Record W2060548481 · doi:10.3138/cmlr.60.3.373

Le Régime pédagogique du français intensif à Ottawa: <i>le bain linguistique</i>

2004· article· fr· W2060548481 on OpenAlexvenueaboutno aff
Martine Peters, Alina MacFarlane, Marjorie Bingham Wesche

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les deux recherches présentées portent sur un régime pédagogique intensif de français langue seconde, le bain linguistique, lequel est fondé sur la prémisse qu'une exposition intensive à la langue seconde est plus efficace qu'une exposition plus dispersée qui vise à améliorer les atti-tudes face à l'apprentissage d'une langue au niveau débutant. Les effets d'une période intensive limitée d'exposition à la langue seconde sur les attitudes face à l'apprentissage du français langue seconde des élèves de 5° et de 6 années ont été évalués à différents intervalles pendant les années scolaires 1993-1994 et 1995-1996. Les résultats des deux évaluations indi-quent que la période intensive permet l'amélioration des attitudes, en plus d'augmenter la confiance des élèves dans leurs habiletés en français langue seconde. À long terme, l'inclusion d'une année intensive de français langue seconde dans le régime pédagogique du français de base pourrait mener à une amélioration de ce dernier.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.263
Teacher spread0.251 · 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 designQualitative
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

Citations9
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicFrench Language Learning MethodsFrench-language works237,207