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Record W7135652590

Substance over Procedural Sovereignty: Why Authoritarians and Nationalists Oppose European Courts

2020· report· en· W7135652590 on OpenAlexaff
Mikael Rask Madsen, Juan A. Mayoral, Anton Strezhnev, Erik Voeten

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2020
Typereport
Languageen
Field
Topic
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsAuthoritarianismLegitimacyDeferenceOpposition (politics)NationalismEuropean unionAdjudicationBacklash
DOInot available

Abstract

fetched live from OpenAlex

To what extent is the public backlash against European courts driven by substantive concerns over the outcomes of cases and/or procedural concerns over sovereignty? We conducted pre-registered survey experiments in Denmark, France, Poland, Spain, and the United Kingdom using three vignettes: a foreigner who faces extradition, a person fighting a fine for burning Qurans, and a home-owner contesting eviction. Each vignette varies whether a European court disagrees with a national court (deference treatment) and whether an applicant wins a case (outcome treatment). We find little evidence that interventionism influences support for compliance or court authority but ample evidence that case outcomes matter. This is even more so for respondents with nationalist and authoritarian leanings. Nationalist opposition to court decisions is not influenced by European court activism or even a mention of European courts, suggesting that backlash to domestic and international courts may be driven by similar forces. These findings have implications for our understanding of the authoritarian and nationalist challenges to (international) institutions and the legitimacy of international institutions. Moreover, they imply that international courts cannot resurrect their popularity through deference alone.

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)0.018
metaresearch head score (Gemma)0.048
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: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.048
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.007
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.101
GPT teacher head0.311
Teacher spread0.211 · 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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