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Record W2606580747 · doi:10.7202/1038891ar

La gouvernance locale à l’épreuve de la mouvance territoriale : à propos de l’objet de la gouvernance locale

2017· article· fr· W2606580747 on OpenAlexvenueno aff
Gérard Divay, Serge Belley

Bibliographic record

VenueRevue Gouvernance · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsLocale (computer software)HumanitiesPolitical scienceArtComputer science

Abstract

fetched live from OpenAlex

Cet article veut jeter un nouvel éclairage sur la gouvernance locale, à partir d’un questionnement sur son objet, ce qu’elle est censée orienter. La gouvernance locale vise à façonner, de manière délibérée, interactive et holistique, l’évolution du milieu local. Mais cette gouvernance délibérée peut s’épuiser dans une errance volontariste si elle ne reconnaît pas la gouvernance immanente à la mouvance territoriale, celle qui anime le fonctionnement du milieu local comme sous-système adaptatif complexe et qui se manifeste à travers la multitude des décisions stratégiques de tous les acteurs (simples citoyens tout comme élites locales). Le renforcement de la capacité de la gouvernance délibérée à maximiser son emprise sur la gouvernance immanente suppose un cadre d’analyse adapté à la complexité locale. L’article en propose un, qui met en évidence l’influence de tous les acteurs sur les différentes dimensions du milieu local et leur dynamique, à travers divers registres d’action.

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 score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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