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Record W3124928064 · doi:10.1177/1354068820985187

Do religious voters support populist radical right parties? Opposite effects in Western and East-Central Europe

2021· article· en· W3124928064 on OpenAlexaff
Kamil Marcinkiewicz, Ruth Dassonneville

Bibliographic record

VenueParty Politics · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsReligiosityRadical rightPolitical scienceChurch attendanceEast-Central EuropePoliticsPolitical economyRelevance (law)AttendancePopulismEuropean Social SurveyWestern europeWorld Values SurveyDevelopment economicsSociologyEuropean unionLawEconomicsInternational trade

Abstract

fetched live from OpenAlex

The rise of populist radical right parties fuels a discussion about the roots of their success. Existing research has demonstrated the relevance of gender, education and income for explaining the far-right vote. The present study contributes to the aforementioned debate by focusing on the role of religiosity. The data collected in the eighth round of the European Social Survey (2016) allow examining in more detail the political relevance of attendance at religious services and other measures of religious devotion. This study focuses in particular on 15 countries, 11 from Western Europe and 4 from East-Central Europe. In none of the Western European countries is there evidence of a positive relationship between religiosity and vote for a populist radical right party. In fact, in many countries of this region more religious voters are substantively less inclined to support far-right movements. The situation is different in parts of East-Central Europe. In Poland, and to a weaker extent also in Hungary, the probability of a vote for right-wing populists increases with religiosity.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.290
Teacher spread0.272 · 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 designObservational
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

Citations78
Published2021
Admission routes1
Has abstractyes

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