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Record W2036999860 · doi:10.1177/1354068810382935

Who selects the party leader?

2011· article· en· W2036999860 on OpenAlexaffabout
William Cross, André Blais

Bibliographic record

VenueParty Politics · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversité de MontréalCarleton University
Fundersnot available
KeywordsOpposition (politics)SetbackPolitical sciencePolitical economyElectoral reformPublic administrationLawSociologyPolitics

Abstract

fetched live from OpenAlex

We study the degree of formal influence that rank-and-file members have on the selection of party leaders in the five English-speaking Westminster countries: Australia, Canada, Ireland, New Zealand and the United Kingdom. We find that in recent years there has been a general, though not universal, trend towards granting party members greater influence in the choice of their leader. We observe that the decision to broaden the selectorate has been made by most parties in the UK, Canada and Ireland, while parties in Australia and New Zealand have generally resisted reform. We set out a series of four hypotheses explaining the decisions made by parties in the first three countries. We show that this organizational reform is adopted by parties in opposition, in the aftermath of an electoral setback and by new parties. We also find a strong contagion effect within party systems. Finally, we offer an explanation for why the Australian and New Zealand cases have resulted in less change.

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)0.020
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 score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.157
GPT teacher head0.356
Teacher spread0.198 · 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

Citations210
Published2011
Admission routes2
Has abstractyes

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