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Record W2158857904 · doi:10.7202/1029379ar

Les professionnels de la santé et des services sociaux intervenant auprès des francophones minoritaires : l’enjeu du capital social

2015· article· fr· W2158857904 on OpenAlexaffvenueabout
Sébastien Savard, Isabelle Arcand, Marie Drolet, Josée Benoît, Jacinthe Savard, Josée Lagacé

Bibliographic record

VenueFrancophonies d Amérique · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article présente les résultats d’une recherche qualitative sur la collaboration et le partenariat entre les professionnels des services sociaux et de la santé qui interviennent auprès de francophones vivant en situation minoritaire en Ontario. L’étude met en lumière, à partir de l’information recueillie auprès de 43 professionnels rencontrés dans huit groupes de discussion, le contexte qui caractérise leur pratique, les défis qu’ils rencontrent dans leur tentative de créer des liens de collaboration avec d’autres professionnels qui oeuvrent auprès des communautés francophones minoritaires ainsi que les facteurs qui facilitent l’établissement de partenariats entre les différents intervenants qui répondent aux besoins de cette population. Les résultats font ressortir que le sentiment d’appartenance, la confiance et l’engagement des professionnels envers la communauté francophone, de même que les valeurs de réciprocité et de solidarité qui les habitent sont des éléments qui favorisent le développement du capital social de la communauté des intervenants. Cependant, le manque de mécanismes permettant la consolidation et la pérennisation des relations de collaboration constitue un facteur qui limite la capacité de bonifier le capital social des professionnels de la santé et des services sociaux francophones et bilingues.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.007
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.354
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; both teacher heads agree on what is shown here.

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

Citations18
Published2015
Admission routes3
Has abstractyes

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