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Record W7131038728

ECtHR’S QUARTER OF A CENTURY LONG BALANCING BETWEEN INDIVIDUAL AND COMMUNITY INTERESTS IN INDUSTRIAL POLLUTION CASES – EVOLUTION OF ENVIRONMENTAL STANDARDS V REMEDIAL POTENTIALS OF ENVIRONMENTAL JUDGMENTS

2020· article· en· W7131038728 on OpenAlexaboutno aff
Bojana Čučković

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsRemedial educationRespondentQuarter (Canadian coin)ObligationGovernment (linguistics)JudgementEnvironmental law
DOInot available

Abstract

fetched live from OpenAlex

The paper focuses on the oldest and, presumably, the most successful line of environmental applications – those that related to alleged violations of ECHR rights as a consequence of industrial activities. By analyzing the relevant judgments of the ECtHR, the author traces the evolution of ECHR standards from the first industrial pollution case López Ostra v Spain decided by the Court in 1994 to the latest judgment Cordella v Italy delivered in 2019. The research is based on two main hypotheses. Firstly, it is argued that outstanding developments occurred with regard to the extent of states’ positive environmental obligations that the Court identified as constitutive elements of certain conventional rights. Secondly, as opposed to such significant developments, the author argues that the remedial potential of ECtHR's environmental judgments seems questionable due to a number of reasons. The aim of the paper is therefore to explore the reasons for such an obvious discrepancy between the high standards identified by the Court as regards both the substantive and procedural environmental duties on the one hand, and the limited remedial effects of the Court’s judgments on the other, as well as to offer potential solutions. The latest case of Cordella v Italy seems to offer valuable guidance and fairly positive development in that regard since it focuses, through measures recommended by the Court, not only on the respondent State’s obligation to address the consequences of industrial activities but also to prevent future damages.

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)0.023
metaresearch head score (Gemma)0.031
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: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.019
Scholarly communication0.0170.007
Open science0.0020.005
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0030.000

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 head0.222
GPT teacher head0.492
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 designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicEnvironmental law and policyFrench-language works237,207