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Record W2112977809 · doi:10.7202/038967ar

La pratique dans un contexte pluriethnique

2010· article· fr· W2112977809 on OpenAlexaffvenue
Francine M. Ducharme, Bilkis Vissandjée, Mario Paquet, Normand Carpentier, Louise Lévesque, Denise Trudeau

Bibliographic record

VenueNouvelles pratiques sociales · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cette étude qualitative visait à mettre à l’essai une démarche pour la création d’une approche de négociation entre le personnel des services de soutien à domicile et des proches-aidantes d’un parent âgé, en vue de formuler des recommandations pour une offre de services culturellement sensibles. L’approche repose sur un cadre conceptuel de négociation qui tient compte des perspectives paradigmatiques des parties concernées : les utilisateurs et prestataires de services. L’étude a été réalisée auprès d’aidantes d’origine haïtienne, en tant que cas traceurs, et auprès d’intervenants et d’intervenantes des services de soutien à domicile. Les données révèlent que les attentes et solutions concernant les services sont largement convergentes entre ces deux groupes d’acteurs et portent notamment sur les barrières à l’utilisation des services et les relations entre les aidantes et les intervenants ou intervenantes. Les principales recommandations issues des détenteurs d’enjeux 2 concernent la formulation d’une politique de soutien des aidantes, la mise en place d’équipes ethnoculturelles de quartier, l’établissement de liens avec les organismes communautaires et la formation interculturelle des intervenants. Cette démarche fournit des pistes pour une pratique basée sur la négociation dans des contextes culturels divers.

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)0.015
metaresearch head score (Gemma)0.013
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 score0.031
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0180.027
Scholarly communication0.0110.011
Open science0.0020.009
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.032
GPT teacher head0.345
Teacher spread0.313 · 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

Citations4
Published2010
Admission routes2
Has abstractyes

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