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Record W1520207563

What's the Hang Up?: Exploring the Effect of Postmaterialism on Hung Parliaments

2011· article· en· W1520207563 on OpenAlexaboutno aff
Jennifer Biess

Bibliographic record

VenueDigital Commons - IWU (Illinois Wesleyan University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentPolitical scienceElectoral systemPolitical economyPublic administrationSituatedPoliticsLawSociologyDemocracy
DOInot available

Abstract

fetched live from OpenAlex

Elections in majoritarian states are supposed to produce single-party majority governments. However, the most recent elections in the three main advanced industrial majoritarian parliamentary democracies - the United Kingdom, Canada, and Australia - failed to produce majority governments. No single party won a majority of the parliamentary seats in any of these three elections, a condition commonly referred to as a hung parliament. Despite the literature's tendency to dismiss hung parliaments as electoral abnormalities, this recent wave of hung parliaments among such similarly situated states suggests the presence of an underlying causal factor that contributes to these outcomes. The current study analyzes the role played by the rise of postmaterialist values in advanced industrial societies in the occurrence of hung parliaments through multiple least squares regression. While the study is not able to arrive at a universal explanation for hung parliaments in all three cases, it is able to explain hung parliaments in Australia and Canada.

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)0.003
metaresearch head score (Gemma)0.019
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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.085
GPT teacher head0.273
Teacher spread0.188 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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