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Record W4384133609 · doi:10.1080/13572334.2023.2233207

Conscientiousness of representatives and agreement with their party positions

2023· article· en· W4384133609 on OpenAlexaffabout
Pirmin Bundi, Frédéric Varone, Peter John Loewen, Christian Breunig

Bibliographic record

VenueJournal of Legislative Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversity of Toronto
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsConscientiousnessLoyaltyDissentPolitical scienceHouse of RepresentativesIdeologyUnisonSocial psychologyPersonalityBig Five personality traitsPublic relationsLawPsychologyExtraversion and introversionPolitics

Abstract

fetched live from OpenAlex

Party unity is an important feature in contemporary democracies. Ideological loyalty, disciplinary measures implemented by party leaders and homogeneity of preferences among elected representatives lead them to act in unison. This study focuses on the last mechanism and assesses under which conditions party representatives agree on policy positions. It argues that the personality trait of conscientiousness is linked to how a representative agrees with her party’s position and that this relationship is moderated by her knowledge of dissent between party voters and representatives. This study use data from a comparative survey conducted among 866 representatives in Belgium, Canada, Germany and Switzerland, and among the party constituencies in the four countries. Results show that conscientious representatives are more likely to differ significantly from the position of their party peers if they spend more time on constituency work and if their voters’ preferences are not congruent with those of their fellow representatives.

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.123
GPT teacher head0.434
Teacher spread0.311 · 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 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

Citations3
Published2023
Admission routes2
Has abstractyes

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