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Record W110661646

Les compensations socio-environnementales : un outil socio-politique d’acceptabilité de l’implantation ou de l’extension d’infrastructures ?

2010· dissertation· fr· W110661646 on OpenAlexaboutno aff
Julie Gobert

Bibliographic record

Venuetheses.fr (ABES) · 2010
Typedissertation
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La presence ou l'installation d'equipements generateurs d'impacts negatifs, comme les aeroports, les centrales electriques, etc. suscitent sur les territoires riverains et au- dela de nombreuses contestations. Divers modes de resolution ont pu voir le jour recourant generalement a de nouvelles formes de concertation, sans toutefois que cette entreprise debouche sur une distribution spatiale plus « juste » des amenites et desamenites environnementales. Au travers des compensations territoriales (discrimination positive a l'embauche des riverains, offre de formations en leur faveur pour les emplois developpes par l'infrastructure, amenagement d'espaces verts…) se dissimule l'ambition non seulement de lutter contre les nuisances mais aussi de redistribuer les externalites positives dans le but d'une meilleure equite. Mesures apportees principalement a la collectivite, elles sont en general le resultat de negociations entre differents acteurs : representants des collectivites locales, exploitants/amenageurs, societe civile – associations, syndicats souvent regroupes en coalition. Les compromis compensatoires tentent de concilier des domaines aux legitimites et aux fonctionnements apparemment antagoniques (justice sociale, equite spatiale et efficacite environnementale). Il s'agit cependant de se demander, au travers d'une mise en parallele de cas d'etude aux Etats-Unis, en Allemagne au Canada et d'une approche synthetique sur la France, si ces outils d'action publique/privee participent reellement a la resorption des injustices environnementales et spatiales dans la mesure ou l'utilisation de la compensation socio-environnementale n'est pas sans soulever des questions d'ethique

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)0.012
metaresearch head score (Gemma)0.019
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: none
Teacher disagreement score0.014
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.028
Scholarly communication0.0120.011
Open science0.0020.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.033
GPT teacher head0.303
Teacher spread0.270 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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Same venuetheses.fr (ABES)Same topicFrench Urban and Social StudiesFrench-language works237,207