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Record W3096404158 · doi:10.1177/1465116520970280

Do European elections enhance satisfaction with European Union democracy?

2020· article· en· W3096404158 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

VenueEuropean Union Politics · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversité de Montréal
FundersUniversità degli Studi di PadovaEuropean Commission
KeywordsEuropean unionParliamentDemocracyPolitical scienceAlienationPolitical economyPublic administrationPoliticsSociologyLawEconomicsEconomic policy

Abstract

fetched live from OpenAlex

We provide the first individual-level test of whether holding supranational elections in the European Union fosters satisfaction with European Union democracy. First, we examine whether participation at the European Parliament election fosters satisfaction with democracy and whether, among those who participated, a winner–loser gap materializes at the EU level. Second, we examine under which conditions participating and winning in the election affect satisfaction with European Union democracy, focusing on the moderating role of exclusive national identity. Our approach relies on panel data collected during the 2019 European Parliament elections in eight countries. We demonstrate that while participating and winning increase satisfaction, such positive boost does not materialize among those with exclusive national identity. These findings hold an important message: elections are no cure to deep-seated alienation.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.025
GPT teacher head0.280
Teacher spread0.256 · 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