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Record W4391402770 · doi:10.7202/1109004ar

Intervention interculturelle dans le secteur de la santé et du social : comment former les étudiants

2024· article· en· W4391402770 on OpenAlexaffvenue
Sylvie Tétreault, Dominique Mercure, Camille Brisset, Carine Bétrisey, Alida Gulfi, Yvan Leanza, Nicolas Kühne

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversité LavalLaurentian University
Fundersnot available
KeywordsInternshipContext (archaeology)PedagogyVariety (cybernetics)PsychologyIntervention (counseling)Medical educationDiversity (politics)SociologyNursingMedicineGeographyAnthropologyComputer science

Abstract

fetched live from OpenAlex

Preparing health and social care students to practice in a context of diversity is an educational challenge. Guidelines for the adoption of theoretical models and the teaching of pedagogical content remain unclear. Using the “world café” method, this study aims to validate recommendations facilitating the acquisition of intercultural competences and enriching them with various partners. The 41 participants indicated the need to improve initial training and to include specific courses on intercultural intervention using a variety of teaching methods. Several suggest consolidating internship supervisors’ prior learnings regarding this approach. Considering the increase of individuals from different cultural backgrounds, it is important to adjust training programs.

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)0.019
metaresearch head score (Gemma)0.034
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 score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.004
Open science0.0010.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.205
GPT teacher head0.469
Teacher spread0.264 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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Same venueMcGill Journal of Education / Revue des sciences de l éducation de McGillSame topicCultural Competency in Health CareFrench-language works237,207