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Record W3126095265 · doi:10.1093/yel/yew002

The Past, Present and Future of the Relation between the European Court of Justice and the European Court of Human Rights

2016· article· en· W3126095265 on OpenAlexaff
Federico Fabbrini, Joris Larik

Bibliographic record

VenueYearbook of European Law · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsHuman rightsPolitical scienceLawContext (archaeology)European unionRelation (database)Fundamental rightsAccessionSanctionsLaw and economicsEconomic JusticeSociologyHistoryEconomicsInternational trade

Abstract

fetched live from OpenAlex

Opinion 2/13, by which the CJEU declared incompatible with the EU treaties the long-negotiated draft agreement on EU accession to the ECHR, came as a shock to many observers. Yet, the relation between the ECJ and the ECtHR has a glorious past, and can continue to have a bright future. While the dust kicked up by Opinion 2/13 settles, the article takes a step back and puts the ruling of the CJEU in a wider context. It recalls the long-standing historical relations between the CJEU and the ECtHR, and discusses the possible scenarios that may open up in the future. In particular, it claims that, even in the aftermath of Opinion 2/13, a virtuous competition between the CJEU and the ECtHR can have beneficial effect for the protection of fundamental rights, as evidenced by the case of judicial review of targeted UN sanctions. At a time of increasing frustration and preoccupation on the relation between the CJEU and the ECtHR, the article strikes a note of optimism, suggesting that the interaction between the two European supranational courts can still play a positive role for fundamental rights in Europe.

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)0.030
metaresearch head score (Gemma)0.035
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: Review · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.035
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0120.034
Scholarly communication0.0360.023
Open science0.0020.006
Research integrity0.0210.021
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.267
Teacher spread0.246 · 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
GenreReview

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
Published2016
Admission routes1
Has abstractyes

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