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Record W4416161625 · doi:10.1017/s0007123425100987

Leveling and Spotlighting: How the European Court of Justice Favors the Weak to Promote Its Legitimacy

2025· article· en· W4416161625 on OpenAlex
Silje Synnøve Lyder Hermansen, Tommaso Pavone, Louisa Boulaziz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Political Science · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLegitimacyLeverage (statistics)OddsEuropean court of justiceEconomic JusticeEuropean Union lawPrivate rights

Abstract

fetched live from OpenAlex

Abstract As private actors turn to international courts (ICs), we argue that judges can adopt pro-individual rights agendas to promote their own legitimacy. By leveling the odds for disempowered individuals and spotlighting their rights claims, ICs rebut charges that they are playthings of the powerful and cultivate support networks in civil society. We assess our theory by scrutinizing the first IC with private access: the European Court of Justice (ECJ). Established as an economic court and alleged to conceal a pro-business bias, we leverage original data demonstrating that the ECJ publicizes itself as protector of individuals and matches words with deeds. The ECJ ‘levels’, favoring individuals’ rights claims over claims raised by businesses boasting better legal teams. The ECJ then ‘spotlights’ pro-individual rights rulings via press releases that lawyers amplify in law journals. These findings challenge claims that ICs build legitimacy by stealth and the ‘haves’ come out ahead in litigation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.960
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.357
Teacher spread0.309 · 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