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Record W4392953825 · doi:10.1080/01402382.2024.2318998

Curb EU enthusiasm: how politicisation shapes bureaucratic responsiveness

2024· article· en· W4392953825 on OpenAlex

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

VenueWest European Politics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsQueen's University
FundersHorizon 2020Economic and Social Research CouncilNederlandse Organisatie voor Wetenschappelijk OnderzoekAcademic Association for Contemporary European StudiesDeutsche ForschungsgemeinschaftEuropean Commission
KeywordsEnthusiasmBureaucracyPolitical sciencePolitical economyLaw and economicsEconomicsPoliticsLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

International institutions are often challenged for being detached from the citizens. Focusing on the European Union, this article studies whether this is the case and, if so, when the European Commission responds to public opinion when pursuing policy integration. It argues that the Commission has legitimacy incentives encouraging it to be responsive but politicisation can suppress responsiveness by transmitting competing demands on the Commission from the member states’ citizens. To test these arguments, the contribution applied automated text analysis to estimate the European Union (EU) authority expansion entailed in the Commission’s legislative proposals between 2009 and 2019 and analysed its correspondence with public preferences over EU policy action across the EU states, measured using the Eurobarometer. The results lend support to the hypotheses and suggest that politicisation can undermine the responsiveness of international institutions.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.036
GPT teacher head0.315
Teacher spread0.279 · 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