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A Procedural Idea of Environmental Democracy: the 'Débat Public' Paradigm within the EU Framework

2021· article· en· W3197352086 on OpenAlexaboutno aff
Alberto Nicòtina

Bibliographic record

VenueReview of European Administrative Law · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionalisationDemocracyLegislatureCorporate governancePolitical scienceDeliberative democracyPublic participationEnvironmental governanceSubject (documents)Public administrationSociologyLawComputer sciencePoliticsManagementEconomics

Abstract

fetched live from OpenAlex

The aim of this paper is to analyse the 'débat public' procedure, which finds its roots in the Canadian legal system and its most defined formulation in France, and which more recently has been circulating to Italy – first at the regional level and, since 2016, at the national level. The first part of the paper will thus be devoted to a historical overview of the débat public and to how it is implemented in each of the two legal systems. The second part will subsequently distil the 'paradigm', i. e. those distinctive traits that make the débat public an autonomous research subject, within the multi-layered legislative framework of environmental governance in Europe. Three main features of the paradigm will be pointed out (Participation, Effectiveness, Authority), thus highlighting how it can respond to the needs in light of which it has been designed, namely dealing with proximity conflicts and providing a forum for the construction of shared rational decisions in environmental decision-making. The paper eventually leads to the conclusion that the débat public, with its codified rules and procedures, represents the first and probably the most noticeable attempt towards the institutionalisation and generalisation of deliberative practices in environmental decision-making, thus towards developing a procedural stance in environmental democracy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.331
Teacher spread0.288 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2021
Admission routes1
Has abstractyes

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