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Record W2101710047 · doi:10.1017/s0008423908081110

Polarized Pluralism in the Canadian Party System: Presidential Address to the Canadian Political Science Association, June 5, 2008

2008· article· en· W2101710047 on OpenAlexaboutno aff
Richard Johnston

Bibliographic record

VenueCanadian Journal of Political Science · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePluralism (philosophy)PoliticsPublic administrationHumanitiesLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract. The Canadian party system is an example “polarized pluralism,” whose key feature is domination by a party of the centre. Centrist domination induces centrifugal tendencies elsewhere in the system. Polarized pluralism accounts for several of the system's peculiar features: three-party competition in individual ridings, contrary to the predictions of Duverger's Law; the existence and episodic dynamics of sectional parties; boom and bust cycles in Conservative party electoral history; and the large gaps between federal and provincial outcomes within many provinces. But domination by a centrist party itself demands explanation. Résumé. Le système canadien des partis politiques exemplifie le «pluralisme polarisé», dont l'élément clé est la force dominante d'un parti du centre. Une telle domination induit des tendances centrifuges ailleurs dans le système. Pour sa part, le pluralisme polarisé explique plusieurs éléments du système canadien : la présence de trois partis compétitifs au niveau de la circonscription, malgré les prédictions du Duverger; l'existence même et la dynamique des partis sectionalistes; l'alternance entre force et faiblesse dans l'histoire du Parti conservateur; et les grands écarts qui se présentent dans plusieurs provinces entre les élections fédérales et les élections provinciales. Dans ce contexte, la force d'un parti centriste se doit d'être expliquée.

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 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)0.013
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.004
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.326
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2008
Admission routes1
Has abstractyes

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