Facteurs d'attrition des étudiants inscrits au Régime d'immersion en français de l'Université d'Ottawa
Bibliographic record
Abstract
Les trois participantes ont un intérêt pour leur langue maternelle, l'anglais et leur langue seconde, le français.Elles n'ont pas opté pour la facilité en répondant dans leur langue maternelle, mais elles ont plutôt choisi d'intervenir en français.Par contre M01 a utilisé plus que les autres l'anglais, peut-être parce qu'elle provient du « core french ».Elles ont placé le français à la suite de leur langue maternelle, même si d'autres langues étaient présentes dans leur parcours de vie, comme l'italien résultant de l'immigration des grands-parents ou choisi délibérément.L'utilisation de la bulle par M01et S01 indique la fonction communicative de la langue.H01 envisage la fonction plus utilitaire de ces 2 langues rejetant l'italien.
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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 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".