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Record W4412636244 · doi:10.4000/14f7s

Le modèle interculturel coopératif d’accompagnement mutuel (MICAM) comme outil de médiation interculturelle et culturelle entre femmes immigrantes et réfugiées et Québécoises natives

2025· article· fr· W4412636244 on OpenAlexaboutno aff
Marie-Laure Dioh, Lucille Guilbert, Marie-Louise Thiaw, Stéphanie Arsenault, Raymonde F. Gagnon, Jeanne Simard

Bibliographic record

VenueÉtudes canadiennes / Canadian Studies · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Au Québec, le contexte social et médiatique tendu autour de l’immigration soulève des préoccupations quant à un besoin de compréhension, de respect et de cohésion entre les valeurs culturelles des personnes issues de diverses catégories d’immigration, dont des personnes réfugiées et celles des Québécois natifs. Cet article révèle comment à travers le modèle interculturel coopératif d’accompagnement mutuel (MICAM), une convergence des valeurs s’exprime, se développe et se construit collectivement entre 20 Québécoises natives et personnes immigrantes. Les ateliers MICAM auxquels elles ont participé ont été un outil privilégié pour créer une dynamique de groupe respectueuse permettant un rapprochement interculturel et une reconnaissance mutuelle.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.746

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.011
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.073
GPT teacher head0.344
Teacher spread0.271 · 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 designNot applicable
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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