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Record W2017705428 · doi:10.7202/043166ar

La coopération intermunicipale : les modèles québécois et français

2005· article· fr· W2017705428 on OpenAlexvenueaboutno aff
Catherine Ribot

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Au Québec comme en France, les contraintes économiques modernes remettent en question les découpages municipaux existants. Les gouvernements se heurtent aux réticences des acteurs locaux pour mettre en place des institutions intermunicipales de coopération permettant aux municipalités dont le territoire est trop exigu, ou dont les moyens économiques sont trop faibles, de satisfaire les besoins publics de leur population et de favoriser le développement local. L'étude des modalités de création et de fonctionne ment de ces institutions révèle, au-delà des correspondances conjoncturelles, d'importantes différences. Alors qu'en France l'intercommunalité se fonde toujours sur des préoccupations de recomposition territoriale, le Québec a développé une conception beaucoup plus fonctionnelle laissant une large place à laconsultation de la population. À partir de ces différences, les institutions de coopération intermunicipales québécoises et françaises s'efforcent d'acquérir une certaine autonomie à l'égard de leurs membres et de définir des stratégies économiques ou politiques spécifiques.

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)0.003
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 score0.154
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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
Published2005
Admission routes2
Has abstractyes

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