Vers une gestion individualisée et externalisée de la difficulté scolaire au Québec
Bibliographic record
Abstract
Cet article a pour objectif de comprendre comment certaines pratiques de remédiation scolaire auprès d’élèves en situation de vulnérabilité relèvent de la même logique que celle qui a conduit à marginaliser ces élèves en premier lieu. Il s’appuie sur une étude de cas qui s’est déroulée pendant trois ans et demi dans une école secondaire en milieu défavorisé et multiethnique de Montréal (Québec). En prenant appui sur le concept de forme scolaire (Vincent, 1980), nous présenterons certaines pratiques de remédiation qui relèvent d’une gestion individualisée et externalisée de la difficulté scolaire, et qui pourraient contribuer à renforcer l’alignement entre pratiques d’intervention scolaires et dispositifs gestionnaires.
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 | 0.013 | 0.025 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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; 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".