Collaborer pour s'ouvrir aux autres: L'éveil aux langues dans une classe d'immersion française
Bibliographic record
Abstract
Dans cette recherche, la chercheure-enseignante adopte une mCthodologie d'Ctude de cas pour Ctudier l'implantation d'activitks d'iveil aux langues dans sa classe de 5e/6e annCe en immersion franqaise dans la rCgion de Vancouver, Colombie-Britannique. Ces activitCs visent a amener les kleves ti prendre conscience de la diversitk linguistique et culturelle qui les entoure.Cette itude kvalue si elles sont pertinentes pour ripondre aux objectifs multiculturels du curriculum en contexte canadien.La cueillette de donnCes comprend des entrevues semi-structurkes avec des groupes d'Clkves, un questionnaire distribuk a tous les Clkves, des notes de terrain, des enregistrements video des interactions de classe ainsi qu'un recueil de documents pertinents.BasCe sur les theories socioculturelles de l'apprentissage appliqukes au domaine de 1'Cducation et le construit de reprksentation linguistique developpC en sociolinguistique, cette recherche analyse les interactions collaboratives entre les Cleves de meme qu'avec l'enseignante, et la coconstruction des connaissances et des reprtsentations linguistiques.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".