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The Government Party

2022· book-chapter· en· W4221090079 on OpenAlexaboutno aff
R. Kenneth Carty

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePoliticsIdeologyDemocracyGovernment (linguistics)Political economyCompetition (biology)Public administrationPower (physics)AccountabilityLanguage changeSociologyLaw

Abstract

fetched live from OpenAlex

Political parties that are able to dominate in systems of democratic electoral competition are often portrayed as particularly successful versions of Kirchheimer’s catch-all party type. Drawing on the record and experience of the most successful democratic dominant parties (in Canada, Ireland, India, Japan, and Italy) indicates that on critical defining features of party practice and organization—their origin, electoral target, expressive function, and structure and leadership—they constitute a distinctive type of “Government Party.” The politics of these national governing parties is tied to the fundamental purpose of the political regime in which they are embedded, generating a distinctive centrism, an electoral focus on power and office rather than ideology and policy, and leaving them vulnerable to scandal and corruption. As the regular party of national government much of the effective competition in the wider system, and its capacity for electoral accountability, are played out in intraparty dynamics in its organization.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.013

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 head0.045
GPT teacher head0.259
Teacher spread0.214 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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