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Record W223943743

The Contours of Left-Right Disagreement in Western European and Anglo-American Democracies: Right-Wing Fragmentation and Left-Wing Coherence in Comparative Perspective*

2015· article· en· W223943743 on OpenAlexaff
Christopher Cochrane

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLeft and rightEuropean Social SurveyPoliticsPublic opinionLeft-wing politicsCoherence (philosophical gambling strategy)Right wingPolitical sciencePolitical economyNew RightPopulationSociologyLawDemography
DOInot available

Abstract

fetched live from OpenAlex

Abstract: This paper explores the fragmentation of the political right and the coherence of the political left on three dimensions of left-right disagreement in twenty-one Western European and Anglo-American countries. Drawing on expert survey data from Benoit and Laver (2006), the analysis indicates that party positions on wealth redistribution, immigration and social liberalism are organized coherently among parties on the left, but not among parties on the right. The second stage of the analysis turns to individual-level public opinion data from the European Social Survey. The results of this analysis indicate that left-right opinions are not organized coherently in the population as a whole. The final section of the paper offers explanations for right-wing fragmentation, left-wing coherence, and the disconnect that exists between the organization of party policies, on the one hand, and the patterns of public opinion on the other.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0040.011
Scholarly communication0.0050.004
Open science0.0000.004
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 head0.047
GPT teacher head0.293
Teacher spread0.245 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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