SIGNALER UN ÉLÈVE POUR RÉPONDRE À SES BESOINS PARTICULIERS OU SOULAGER LE SYSTÈME?
Bibliographic record
Abstract
Cet article porte sur le rôle de l’institution et de ses acteurs dans la construction des difficultés des élèves. Une analyse de contenu a été réalisée sur les fiches de signalement produites en 2017-2018 dans un canton suisse et demandant une mesure d’aide renforcée pour un élève. Les résultats suggèrent qu’un système de prestation directe à l’élève engendre un pointage voire une exagération de ses manquements pour obtenir la mesure, ceci afin de répondre aux besoins de l’élève, mais aussi aux besoins des enseignants confrontés aux défis liés à la diversité du public scolaire. Il apparaît ainsi crucial de repenser l’octroi et l’organisation des ressources afin de contrer certaines formes d’exclusion et de favoriser un système scolaire plus inclusif.
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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".