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Record W4414075141 · doi:10.1080/14675986.2025.2555787

Fostering intercultural competency: analysis of an initiative aimed at transforming intercultural approaches in a multi-ethnic elementary school in Canada

2025· article· en· W4414075141 on OpenAlexafffundabout
Mélissa Bissonnette, Anne-Marie Robillard

Bibliographic record

VenueIntercultural Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsUniversité du Québec à Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsIntercultural competenceMulticultural educationCultural competenceIntercultural communicationQualitative researchCultural diversityCultural pluralismTeaching methodCross-cultural

Abstract

fetched live from OpenAlex

Quebec navigates within an ‘ethnoculturally’ diverse environment, which creates pressure to adapt to the province’s school environments and staff. The research findings presented in this article reflect a project to assess the evolution of the application of intercultural competency. Specifically, this article examines changes in intercultural practices reported by various staff members of a multi-ethnic elementary school in Quebec, Canada, analysing them considering intercultural praxis. These results indicate that a shared training programme within the school facilitates the development of various aspects of intercultural praxis from different perspectives, stimulating reflection on the roles and actions that can initiate a change in perceptions, primarily in practices within educational institutions.

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 score0.064
Threshold uncertainty score0.467

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.007
Scholarly communication0.0050.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.094
GPT teacher head0.388
Teacher spread0.294 · 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 routes3
Has abstractyes

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