Des pratiques inclusives qui soutiennent la situation d’inclusion d’élèves francophones issu-es de l’immigration récente en classe ordinaire du primaire
Bibliographic record
Abstract
Cet article prsente une partie des rsultats de notre mmoire de matrise, portant sur les pratiques inclusives qui facilitent la situation d'inclusion de trois lves francophones issues de l'immigration rcente (EFIIR) en classe ordinaire du primaire.En effet, les flux migratoires mondiaux ont entran un accroissement de la diversit des profils d'lves en classe ordinaire Montral.Celle-ci, notamment sur les plans linguistiques et culturels du franais, engendre plusieurs dfis pour les coles et influence la situation d'inclusion des EFIIR (Montesano & Papazian-Zohrabian, 2024).Ainsi, le personnel scolaire est amen dployer des pratiques quitables, justes, dmocratiques, humanistes et adaptes pour rpondre leurs besoins diversifis (Potvin, 2013 ; Rousseau, et al., 2013). l'aide d'entretiens individuels semi-dirigs (Savoie-Zajc, 2009), des pratiques inclusives rapportes par des EFIIR, leur parent et le personnel scolaire (n=6-10 entrevues par situation d'inclusion, regroupant chacune 7-11 personnes participantes) ont t documentes : l'enseignement de l'empathie, l'accompagnement social, la reconnaissance et la valorisation des cultures et des expriences antrieures des EFIIR, et la collaboration de l'quipecole.Les rsultats rvlent la complexit des situations d'inclusion, indpendamment de la matrise du franais des EFIIR, et soulignent la ncessit d'une adaptation rciproque entre ces lves et l'cole.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".