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Record W2519371297 · doi:10.1111/1475-6765.12166

Right‐wing populist party supporters: Dissatisfied but not direct democrats

2016· article· en· W2519371297 on OpenAlexaboutno aff
Shaun Bowler, David Denemark, Todd Donovan, Duncan McDonnell

Bibliographic record

VenueEuropean Journal of Political Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsnot available
Fundersnot available
KeywordsPopulismDemocracyDirect democracyRight wingLiberal democracyCriticismPolitical scienceRepresentative democracyPolitical economySociologyLawPolitics

Abstract

fetched live from OpenAlex

Abstract Right‐wing populist parties tend to combine criticism of how liberal democracy functions with calls for greater direct democracy. But do their voters share that support for direct democracy? In this article, survey data is used to examine, first, whether right‐wing populist candidates in Australia, Canada and New Zealand were more supportive of direct democracy than candidates of other parties. Second, the views of right‐wing populist voters about the functioning of democracy and direct democracy are investigated. While right‐wing populist candidates turned out to be far more likely to support direct democracy, right‐wing populist supporters did not mirror the candidates. Although these were among the most dissatisfied with how democracy worked, they did not necessarily favour referendums more than other voters. The findings have implications both for how we conceive of the relationship between populism and direct democracy and the remedies proposed for redressing populist discontent.

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)0.007
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.133
GPT teacher head0.421
Teacher spread0.288 · 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

Citations120
Published2016
Admission routes1
Has abstractyes

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