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Record W2057067632 · doi:10.7202/1004051ar

Vers une régulation marchande des relations entre l’État et les entreprises d’économie sociale en aide domestique : étude de cas au Saguenay

2011· article· fr· W2057067632 on OpenAlexaffvenueabout
Sabrina Gauvreau, Sébastien Savard, Marielle Tremblay, Fatoumata Diadiou

Bibliographic record

VenueÉconomie et solidarités · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of OttawaUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dans le contexte de la reconfiguration du système de santé et de services sociaux québécois, la place qu’occupe le tiers secteur dans la réponse aux besoins des populations est de plus en plus grande. Dans le secteur du soutien à domicile, les centres de santé et de services sociaux (CSSS) sont appelés à établir des partenariats avec les entreprises d’économie sociale en aide domestique (EESAD). Ces partenariats ont été accentués par les lois 25 (2003) et 83 (2005). De plus, le cadre dans lequel ils se déroulent a été transformé. La forme que prendront ces partenariats fixe plusieurs enjeux pour l’économie sociale. Dans cet article, à partir de l’étude d’un cas au Saguenay, nous nous demandons si, dans le cadre de la reconfiguration du système de santé et de services sociaux, les relations entre l’État et les EESAD empruntent le modèle de l’économie marchande et ne participent pas ainsi à l’élargissement de la démocratisation de l’espace public.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0100.008
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.060
GPT teacher head0.316
Teacher spread0.255 · 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

Citations0
Published2011
Admission routes3
Has abstractyes

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