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Record W7082652382 · doi:10.7202/1119607ar

Voix des personnes intervenantes dans le milieu scolaire ou communautaire sur la socialisation des jeunes musulmans

2025· article· fr· W7082652382 on OpenAlexaboutno aff

Bibliographic record

VenueApprendre et enseigner aujourd’hui Revue du Conseil pédagogique interdisciplinaire du Québec · 2025
Typearticle
Languagefr
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationCultural environmentSocial environment

Abstract

fetched live from OpenAlex

L’intégration des élèves issus de l’immigration représente un défi pour les sociétés d’accueil (Bakhshaei, 2016). Au Québec, ce processus repose sur une dynamique complexe entre les référentiels de socialisation familiaux et les exigences institutionnelles de l’école, nécessitant des ajustements pour favoriser la réussite scolaire et sociale des jeunes. Pour les familles musulmanes, cette intégration est souvent marquée par des tensions entre les valeurs culturelles transmises au sein du foyer et les attentes normatives du milieu scolaire, qui peuvent être parfois perçues comme contradictoires (Guennouni Hassani et Kanouté, 2023). Cet article explore ces enjeux en mobilisant les perceptions des personnes intervenantes en milieu scolaire et communautaire. Il met en lumière les tensions et ajustements que nécessitent ces interactions, ainsi que les stratégies permettant d’accompagner les familles dans la compréhension de la culture scolaire. En développant des espaces de dialogue, en sensibilisant les personnes intervenantes scolaires et communautaires aux référentiels culturels des élèves et en favorisant une collaboration étroite entre l’école et les familles, il est possible de mieux soutenir l’intégration scolaire des jeunes musulmans et de renforcer leur engagement dans leur parcours.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.260
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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Same venueApprendre et enseigner aujourd’hui Revue du Conseil pédagogique interdisciplinaire du QuébecSame topicGeochemistry and Geologic MappingFrench-language works237,207