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Record W2075383757 · doi:10.4000/vertigo.15283

L’action publique territoriale face au défi de l’adaptation : déterminants et effets de la prise en compte des changements climatiques à l’échelle régionale

2014· article· fr· W2075383757 on OpenAlexvenueno aff
Elsa Richard

Bibliographic record

VenueVertigO · 2014
Typearticle
Languagefr
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’action locale est aujourd’hui confrontée au problème de changements climatiques, tant en termes de réduction des émissions de gaz à effet de serre que de gestion des impacts potentiels. La question particulière de l’adaptation aux changements climatiques émerge ainsi progressivement sur la scène locale et semble se généraliser depuis les évolutions législatives (Loi « Grenelle II ») qui rendent obligatoire la réalisation de plans climat-énergie territoriaux pour les collectivités de grande taille et des schémas régionaux climat-air-énergie. Pourtant, devant les injonctions à se saisir du problème climat, force est de constater les difficultés des acteurs locaux à traduire la question de l’adaptation aux changements climatiques à l’échelle de leur territoire : S’adapter à quoi? S’adapter comment? Cet article propose ainsi de caractériser l’action territoriale française en matière d’adaptation aux changements climatiques. Il s’agit d’amener des éléments de compréhension des modalités de prise en compte de l’adaptation aux changements climatiques par les régions sur la base d’observations de terrain menées à l’échelle régionale. Cet article entend restituer les facteurs déterminant la mise sur agenda régional de l’adaptation et les effets constatés de cette prise en compte des effets des changements climatiques pour l’action régionale.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.298
Teacher spread0.269 · 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 designObservational
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

Citations8
Published2014
Admission routes1
Has abstractyes

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Same venueVertigOSame topicSustainability and Climate Change GovernanceFrench-language works237,207