L’autorégulation de l’apprentissage par la lecture d’adolescents en milieu défavorisé
Bibliographic record
Abstract
Cette étude a pour but de présenter les portraits d’autorégulation, lors de l’apprentissage par la lecture, de 20 545 élèves du secondaire (12 à 17 ans) fréquentant 59 écoles francophones de milieux défavorisés du Québec. Elle repose sur le questionnaire d’évaluation Lire pour apprendre (Cartier et Butler, 2003). Les résultats montrent que les élèves voient une certaine complexité à la situation, par leur interprétation, leurs objectifs et les critères de performance. Le volet apprentissage de la situation est moins ciblé. Par ailleurs, les élèves présentent des portraits d’autorégulation lacunaires. Des différences d’autorégulation entre les élèves du début et de la fin du secondaire ont été observées.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, 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".