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Record W3094372969 · doi:10.1093/jwelb/jwaa028

Climate Change Litigation and the European Court of Human Rights - A Strategic Next Step?

2020· article· en· W3094372969 on OpenAlexaff
Therese Karlsson Niska

Bibliographic record

VenueThe Journal of World Energy Law & Business · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHuman rightsPolitical scienceObligationClimate changeConventionLawEuropean unionLaw and economicsSociologyBusinessInternational trade

Abstract

fetched live from OpenAlex

Abstract The purpose of the article is to analyse if bringing a case before the European Court of Human Rights (ECtHR) could be impactful in forcing greater climate change action. Part of this analysis is built upon the review of two climate change cases brought before national courts, since they have different outcomes even though both use the fundamental human rights of the European Convention on Human Rights (ECHR) as their legal bases. The cases are the Urgenda Foundation v. Kingdom of the Netherlands and the Union of Swiss Senior Women for Climate Protection v. Swiss Federal Council and Others. The Urgenda case establishes a link between the rights in article 2 and 8 ECHR, and climate change, which creates a positive obligation for a state to protect these rights by acting to combat climate change. The Swiss Climate Protection case, however, is dismissed. Both cases highlight some of the challenges regarding climate change in relation to the fundamental human rights of the ECHR. Judgments by the ECtHR are final, and the formally and informally binding nature of case law from the court is argued to indicate the possibility of a powerful tool in relation to climate change action since 47 states will be affected by the court’s decisions. However, if a case brought before the ECtHR has an unfavourable outcome in relation to forcing greater governmental action in combating climate change, this may also have greater consequences than such an outcome of a domestic challenge, since it will set a minimum standard of care, or completely exclude climate change in relation to human rights. The article argues that it should be considered worth the identified risks to bring a claim before the ECtHR even though it is uncertain if the evolving nature of the charter is ready to establish obligations in relation to climate change, due to the unprecedented and severe threat that climate change constitutes.

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)0.041
metaresearch head score (Gemma)0.058
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 score0.044
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.058
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0090.025
Scholarly communication0.0350.028
Open science0.0040.010
Research integrity0.0440.019
Insufficient payload (model declined to judge)0.0100.001

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 head0.048
GPT teacher head0.267
Teacher spread0.219 · 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

Citations14
Published2020
Admission routes1
Has abstractyes

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