MétaCan
Menu
Back to cohort
Record W3128057119 · doi:10.7202/1074425ar

Évolution du rapport à l’Autre chez les étudiant·e·s en ergothérapie et en travail social : variables prédictives des orientations d’acculturation de la communauté d’accueil

2021· article· fr· W3128057119 on OpenAlexaffvenue
Sylvie Tétreault, Carine Bétrisey, Camille Brisset, Alida Gulfi, Yvan Leanza, Nicolas Kühne

Bibliographic record

VenueNouveaux cahiers de la recherche en éducation · 2021
Typearticle
Languagefr
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversité Laval
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsHumanitiesSociologyPsychologyArt

Abstract

fetched live from OpenAlex

Autant en France qu’en Suisse, les professionnel·le·s sont amené·e·s à travailler auprès de populations diversifiées (âge, niveau socioéconomique, langue, ethnie, état de santé, etc.). Plusieurs recherches soutiennent que la sensibilité interculturelle est liée aux caractéristiques psychologiques. Une étude longitudinale (2016-2019) a été menée auprès de 202 étudiant·e·s en ergothérapie et en travail social de France et de Suisse. Ceux-ci ont rempli un questionnaire sur les orientations d’acculturation de la communauté d’accueil, l’attachement adulte et la personnalité multiculturelle, en première et en troisième année de formation. Peu de différences significatives apparaissent entre les deux temps de mesure. Les analyses de régression mettent en évidence des variables psychologiques à considérer dans le type de rapport à l’Autre, soit l’ouverture d’esprit, la gestion de l’anxiété, l’empathie culturelle, la flexibilité et les expériences interculturelles significatives vécues.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.083
GPT teacher head0.397
Teacher spread0.314 · 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 designObservational
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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueNouveaux cahiers de la recherche en éducationSame topicMigration, Health and TraumaFrench-language works237,207