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Record W4384433903 · doi:10.1353/ces.2023.a902152

Du déni de la différence à l'adaptation dans les interventions de services publics : Conditions individuelles et organisationnelles de sensibilité interculturelle

2023· article· fr· W4384433903 on OpenAlexvenueaboutno aff
Angéline Martel, Nancy Gagné

Bibliographic record

VenueCanadian ethnic studies · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPublicsArt

Abstract

fetched live from OpenAlex

Résumé: Des transformations contemporaines incitent aux relations interpersonnelles et intergroupales qui impliquent la reconnaissance ou le déni de la différence et de la diversité. Parmi ces transformations, on pourrait nommer l'intensification des déplacements migratoires ou touristiques, l'élargissement de la mondialisation, l'accroissement des communications numériques et la mise en oeuvre des droits de la personne et de l'aide humanitaire. Ces transformations contribuent à l'importance grandissante accordée à la recherche, et conséquemment à la formation, portant sur la compétence interculturelle (CI), tant sur le plan théorique qu'appliqué à des contextes particuliers. Un exemple de contexte particulier serait celui des employés-es de services publics qui intervennent auprès de populations diversifiées. La présente étude propose d'apporter un éclairage sur ces services afin de connaitre le stade de développement de la CI d'intervenants-es ainsi que les situations interculturelles problématiques les plus couramment vécues. Sur le plan théorique, le modèle de développement de la sensibilité interculturelle ( Developmental Model on Intercultural Sensitivity ) (MDSI) est utilisé. La recherche repose sur une analyse de discours de groupes de discussion auprès d'intervenants-es de cinq services publics de la grande région de Montréal, Québec (Canada) : Urgences-santé, service de sécurité incendie pompiers premiers répondants (SSI-PPR), bibliothèques et Bibliothèque et Archives nationales du Québec (BAnQ), centres locaux d'emploi et services de police. Une analyse statistique en dégage les tendances significatives pour chaque service public. Abstract: Contemporary transformations are driving interpersonal and intergroup relations that imply the recognition, or denial, of differences and diversity. These transformations include the intensification of migratory or tourist movements, the expansion of globalization, the growth of digital communications, and the implementation of human rights and humanitarian aid. These transformations contribute to the growing importance of research, and consequently training, on intercultural competence (IC), both theoretically and applied to specific contexts. The present study aims to shed light on these services in order to understand the stage of development of IC of practitioners as well as the most commonly experienced intercultural problematic situations. Theoretically, the Developmental Model on Intercultural Sensitivity (MDSI) is used. The research is based on a discourse analysis of focus groups with stakeholders from five public services in the greater Montreal area, Quebec (Canada): Emergency Health Services, Fire Safety and First Responders (SSI-PPR), Libraries and Library et national Archives of Québec (BAnQ), local employment centers and police services. Statistical analysis identifies significant trends for each public service.

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)0.010
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.157
GPT teacher head0.416
Teacher spread0.259 · 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
Published2023
Admission routes2
Has abstractyes

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