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Record W6981585131

Ententes de services et nouveau partenariat public/communautaire : quatre études de cas

2008· report· fr· W6981585131 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2008
Typereport
Languagefr
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsPublicsCommunity serviceAccess to information
DOInot available

Abstract

fetched live from OpenAlex

La création des CSSS ainsi que la mise en place des réseaux locaux de services au travers des projets cliniques et des ententes de services constituent le point tournant d'une redéfinition des rapports entre établissements publics et organismes communautaires au Québec. Cette redéfinition est alimentée de manière paradoxale par deux registres : 1- le registre du partenariat qui fait appel à la concertation volontaire des acteurs autonomes et au développement communautaire et 2- le registre de la gestion et de la coordination des ressources communautaires qui fait appel aux ententes de services et aux rapports contractuels. Cette recherche explore 4 expériences d'ententes de services entre établissements publics et organismes communautaires et identifie deux tendances au niveau des pratiques en émergence : la tendance concertation et la tendance administration. Il existerait une marge de manœuvre qui permet que des ententes de services, malgré leurs limites, puissent se réaliser sous un mode de concertation et même de coconstruction. Si les rapports contractuels semblent inévitables entre les CSSS et les organismes communautaires, ils peuvent aussi être un moyen pour réaliser des objectifs convenus entre les acteurs et qui contribuent au développement des communautés.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.328
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.016
Scholarly communication0.0110.007
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0160.001

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 head0.041
GPT teacher head0.285
Teacher spread0.244 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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