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Record W3107779161 · doi:10.1017/gov.2020.27

Does Class Shape Legislators’ Approach to Inequality and Economic Policy? A Comparative View

2020· article· en· W3107779161 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGovernment and Opposition · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLegislatureInequalityGovernment (linguistics)Political scienceSalientPoliticsClass (philosophy)Economic inequalitySurvey data collectionPolitical economyEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Do the class backgrounds of legislators shape their views and actions relating to inequality and economic policy? Building on findings about ‘white-collar government’ in the US, this article examines the relationship between legislators’ class and their attitudes and self-reported behaviour in advanced democracies, drawing on survey data from 15 countries including 73 national and subnational parliaments in Europe and Israel. I find that legislators from business backgrounds are more likely to support income inequality and small government, as well as less likely to consult with labour groups, than those from working-class and other backgrounds. These results are buttressed by analysis of an additional cross-national survey of European legislative candidates’ attitudes, which replicates key findings. Given the skewed class makeup of legislatures in advanced democracies, these findings may be relevant to our understanding of widespread economic and political inequalities that are increasingly salient in many countries.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.332
Teacher spread0.268 · 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