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The European Union

2019· book-chapter· en· W4250949077 on OpenAlexaff
Markus W. Gehring, Freedom-Kai Phillips, Emma Lees

Bibliographic record

VenueOxford University Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsEnvironmental lawEuropean unionPolitical scienceEuropean Union lawEnforcementEnvironmental justiceTreatyEnvironmental planningLawBusinessInternational tradeGeography

Abstract

fetched live from OpenAlex

Abstract This chapter examines the environmental law of the European Union. It first provides an overview of the early development of EU environmental law and its Treaty bases before discussing the structure and substance of EU environmental law. In particular, it considers both the transversal elements of environmental law (environmental principles, access to information and justice, environmental impact assessment, principles of liability) and its regulation of various areas such as chemicals/waste, water, conservation, air pollution, and climate change. It also explores the EU’s indirect and other influences on the environmental law of its Member States, as well as the implementation framework for the EU environmental law. The chapter concludes with an analysis of the administration of European environmental law, with emphasis on the role of Member States in administrative enforcement and the role of the Court of Justice of the European Union in the development of environmental policy across the EU.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.067
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0670.027

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 head0.021
GPT teacher head0.216
Teacher spread0.195 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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