Accompagner l’intégration des élèves réfugié.e.s et de leurs parents à l’école : analyse du développement du dispositif AIS-Scolaire
Bibliographic record
Abstract
Aujourd’hui, les questions relatives à la scolarisation des élèves réfugié.e.s prennent de plus en plus d’ampleur et s’avèrent particulièrement complexes. S’emparant de ces enjeux, le canton de Genève a développé le dispositif AIS-Scolaire visant à soutenir l’intégration des élèves réfugié.e.s et de leur famille grâce à la présence d’accompagnatrices scolaires, œuvrant comme l’un des maillons clés de l’intégration, notamment grâce à leur maitrise de la langue maternelle des bénéficiaires du projet. Cet article rend compte des résultats d’une recherche portant sur le développement du dispositif, sur son fonctionnement et ses potentielles retombées.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".