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Record W4390553091 · doi:10.31338/1641-2478pe.2.23.7

The dynamics of changes in British political parties and the party system in the 21st century

2023· article· en· W4390553091 on OpenAlexaboutno aff
Wojciech Sokół, Łukasz Danel

Bibliographic record

VenuePrzegląd europejski · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsIdeologyDynamics (music)Political scienceQuarter (Canadian coin)Political economyNorthern irelandPolitical systemPublic administrationSociologyLawHistoryEthnology

Abstract

fetched live from OpenAlex

The article is devoted to the dynamics of changes in British political parties and the British party system in the 21st century. The main objective of the analysis is to verify the hypothesis that the configuration of the party system of the United Kingdom of Great Britain and Northern Ireland over the last quarter of a century was conditioned by changes in the ideological, programmatic and organisational spheres, as well as the model of party leadership in British political parties. This hypothesis will be verified by various research methods, including document content analysis, data analysis and comparative analysis. The authors analyse changes in the programme and organisational dimensions, as well as the evolution of the leadership model in British political parties. They also indicate the extent, to which such changes influence the transformation of the British party system – both in the electoral and parliamentary arenas.

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)0.003
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: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.004
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.021
GPT teacher head0.288
Teacher spread0.267 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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