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Record W2081302645 · doi:10.7202/040274ar

Repenser les relations entre gouvernement et secteur bénévole

2008· article· fr· W2081302645 on OpenAlexafffundvenueabout
Rachel Laforest, Susan P. Phillips

Bibliographic record

VenuePolitique et Sociétés · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsCarleton University
FundersUniversity of TorontoQueen's UniversityMcGill University
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Au cours des 10 dernières années, les gouvernements ont réalisé que les nouvelles formes de gouvernance nécessitent une plus grande coopération avec les acteurs de la société civile. L’amélioration de ses relations avec le secteur bénévole et communautaire est maintenant considérée comme un élément clé d’une bonne gestion des affaires publiques. À la fois au Canada et au Québec, les gouvernements ont utilisé un instrument politique innovateur, une entente cadre, afin de renouveler leurs relations avec ce secteur. Même si les moyens sont similaires, il y a des différences importantes en ce qui concerne le degré d’institutionnalisation de l’interaction, l’acceptation du rôle d’action sociale et la reconnaissance de l’autonomie du secteur au Canada et au Québec. Les auteurs démontrent que ces différences reflètent des manières distinctes de positionner le secteur dans le régime de citoyenneté.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.001

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 head0.094
GPT teacher head0.418
Teacher spread0.324 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations19
Published2008
Admission routes4
Has abstractyes

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