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The European Court and Legal Integration: An Exceptional Story or Harbinger of the Future?

2009· book-chapter· en· W2605583713 on OpenAlexaff
Karen J. Alter

Bibliographic record

VenueOxford University Press eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsScience North
Fundersnot available
KeywordsEuropean court of justiceLawPreliminary rulingPolitical scienceTreatyCommon lawContext (archaeology)European Union lawScots lawInternational lawEconomic JusticeSources of lawEuropean unionHistoryBusinessInternational trade

Abstract

fetched live from OpenAlex

Abstract The European Court of Justice (ECJ) was established as part of the European Coal and Steel Community in 1950, and later adapted as part of the 1957 Treaty of Rome. The most important design feature of the ECJ proved to be the “preliminary ruling mechanism,” intended to provide national courts with technical support in interpreting complex European law. In practice, preliminary ruling references provided a means for the ECJ to insert itself into national debates regarding the relationship of European law to national law, and to harness national courts as enforcers of ECJ decisions. This article explores the ECJ's role in European integration and locates its remarkable experience in the larger context of international courts and international law. It also discusses comparative politics and the role of the ECJ as an interlocutor.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0080.036
Scholarly communication0.0180.017
Open science0.0010.007
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0070.000

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 head0.027
GPT teacher head0.235
Teacher spread0.208 · 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 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

Citations19
Published2009
Admission routes1
Has abstractyes

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