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PARTY SYSTEMS IN BRITAIN, CANADA, AUSTRALIA AND NEW ZEALAND: GENERAL AND SPECIAL

2017· article· en· W2616491791 on OpenAlexaboutno aff
Andrey N. Komarov

Bibliographic record

VenueRUDN Journal of World History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsLiberal PartyIdeologyConservatismPoliticsSocial democracyLiberalismPolitical sciencePolitical economyDemocracyPublic administrationLawSociology

Abstract

fetched live from OpenAlex

The article presents the scholar analysis of the party systems of Britain, Canada, Australia and New Zealand. The author emphasizes that the party systems of the above-mentioned states are based on national level on a two-party system of Anglo-Saxon type. The author believes that the Canadian, British, Australian and New Zealand Conservatives, Liberals and Social Democrats consider the progressive development of society in the framework of the established two-party system that forms the institutional, electoral and political base for their ideologies, primarily conservatism, liberalism and social-democracy. The author comes to the conclusion that, despite the number of aforementioned points in two-party systems of Britain, Canada, Australia and New Zealand, there are significant differences that are explained by historical and economic peculiarities of development of Canada, UK, Australia and New Zealand. A crucial difference is the lack of an institutionalized Conservative party in the party systems of Australia and New Zealand.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.011
Science and technology studies0.0060.004
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.281
Teacher spread0.239 · 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
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
Published2017
Admission routes1
Has abstractyes

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