Prescriptions institutionnelles et enseignement de l’écriture aux élèves nouvellement arrivés en France
Bibliographic record
Abstract
L’auteure s’intéresse, dans une optique didactique, à l’enseignement de la langue française en France dans un contexte scolaire particulier : celui des dispositifs d’accueil temporaires destinés aux élèves nouveaux-arrivants non francophones. L’étude examine la manière dont les prescriptions institutionnelles, historiquement situées, ont traité dans leurs configurations successives, de la question de l’entrée dans l’écrit de la langue-culture cible et de l’accès à la littéracie pendant ces quarante dernières années. Organisé selon deux grands axes, l’article s’efforce de préciser les statuts conférés à la diversité linguistique et culturelle des élèves pendant la période étudiée et est fondé sur une analyse des postulats théoriques et didactiques sur lesquels se sont respectivement appuyées les prescriptions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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; both teacher heads agree on what is shown here.
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".