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Record W2891041685 · doi:10.1017/gov.2018.24

Are the Supporters of Populist Parties Loyal Voters? Dissatisfaction and Stable Voting for Populist Parties

2018· article· en· W2891041685 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

VenueGovernment and Opposition · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversité de Montréal
FundersUniversity of Cambridge
KeywordsVotingPoliticsContext (archaeology)Political scienceMainstreamPolitical economyPopulismLawEconomics

Abstract

fetched live from OpenAlex

Abstract Scholars of electoral behaviour regularly link political dissatisfaction to two types of behaviour: voting for populist parties and unstable voting behaviour. It is therefore not surprising that the electorates of populist parties are generally assumed to be rather volatile. In this article, we argue that this is not necessarily the case – in particular in a context of increasingly strong and viable populist parties. We make use of data from the Comparative Study of Electoral Systems project to show that voters for populist parties are neither more nor less volatile than voters for mainstream parties. Political dissatisfaction among voters for populist parties even increases the likelihood of stable voting for populist parties. The supply of populist parties further conditions the stability of the populist vote, as voters in systems with established populist parties are more likely to vote stably for populist parties. Finally, we find that in a context of strong and stable populist parties, the effect of political satisfaction on vote switching is somewhat reduced.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.037
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.285
Teacher spread0.258 · 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