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Record W2028121464 · doi:10.3917/ag.669.0498

La décentralisation des ports en France : de la recomposition institutionnelle aux mutations fonctionnelles. L'exemple de Toulon

2009· article· fr· W2028121464 on OpenAlexaff
Jean Debrie, Valérie Lavaud-Letilleul

Bibliographic record

VenueAnnales de Géographie · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsHumanitiesPolitical scienceCentralisationPhilosophyLaw

Abstract

fetched live from OpenAlex

En France, la nouvelle vague de décentralisation énoncée dans la loi du 13 août 2004 relative aux libertés et responsabilités locales consacre un processus court de transfert de l’État à différentes configurations de collectivités territoriales, de la propriété, de l’aménagement, de l’entretien et de la gestion d’un ensemble de ports secondaires, dits d’intérêt national. À ce titre, elle introduit une renégociation du compromis entre les acteurs institutionnels encadrant la dynamique portuaire. Cette modification constitue l’objet de cet article qui s’attachera à décrypter la recomposition des équilibres fonctionnels portuaires induite par cette évolution institutionnelle. La variété des montages politiques, des acteurs et des niveaux territoriaux encadrant les ports ainsi que les nouvelles orientations des activités portuaires introduites aujourd’hui dans les projets construits progressivement par les nouvelles autorités seront plus particulièrement illustrées par l’exemple du port de Toulon qui — dans cette problématique institution/fonction — constitue un cas d’école complexe de ces nouvelles politiques publiques portuaires.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.290
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations6
Published2009
Admission routes1
Has abstractyes

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