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Des pratiques inclusives qui soutiennent la situation d’inclusion d’élèves francophones issu-es de l’immigration récente en classe ordinaire du primaire

2025· article· fr· W4417482504 on OpenAlexaff
G. Montesano, Garine Papazian-Zohrabian

Bibliographic record

VenueL’éducation en débats analyse comparée · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEthnographyIdentity (music)Object (grammar)Context (archaeology)Subject (documents)

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.356
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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