Écriture de textes identitaires plurilingues et rapport à l’écrit d’élèves immigrants allophones1
Bibliographic record
Abstract
Cet article contribue à la réflexion sur la notion de rapport à l’écrit (RÉ) en contexte de langue seconde auprès d’élèves immigrants allophones en proposant la dénomination de RÉ+. Il s’appuie sur une recherche effectuée au Québec visant à observer les effets de la production de textes identitaires plurilingues sur le RÉ+ de huit élèves immigrants allophones en situation de grand retard scolaire en classe d’accueil au secondaire (groupe expérimental: n=4; groupe contrôle: n=4). Des entretiens individuels et des observations participantes ont permis de décrire le RÉ+ des participants et de dégager les effets de l’approche nouvelle mise en place qui, contrairement aux pratiques traditionnelles d’enseignement observées dans le groupe contrôle, est liée au développement d’un RÉ+ aux connotations plus positives se traduisant entre autres par un engagement plus marqué des élèves.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".