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Record W2152957664 · doi:10.1111/cars.12077

Social Class, Economic Inequality, and the Convergence of Policy Preferences: Evidence from 24 Modern Democracies

2015· article· en· W2152957664 on OpenAlexaff
Robert Andersen, Josh Curtis

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsEconomic inequalityEconomic interventionismInequalitySocial classSocial inequalityGovernment (linguistics)Convergence (economics)Social mobilityEconomicsSocial positionIntervention (counseling)Demographic economicsPolitical sciencePublic economicsSociologyEconomic growthSocial changePsychologyPoliticsSocial science

Abstract

fetched live from OpenAlex

Using data from the World Values Survey and national‐level indicators for 24 modern democracies, we assess the influence of social class and economic inequality on preferences for government responsibility. We improve on previous research by using multilevel models that account for differences in attitudes both within (i.e., over time) and across countries. Our findings are consistent with the economic self‐interest hypothesis. Specifically, working class individuals, who tend to gain the most from government intervention because of their low and often more precarious economic position, are more likely than others to support government intervention. We also find a positive relationship between national‐level income inequality and support for government intervention. As income inequality rises, its social ills tend to be more pervasive, resulting in public opinion becoming more supportive of governments taking responsibility for their citizens. We further demonstrate that inequality moderates the relationship between social class and attitudes. Although the effect of income inequality is positive for all social classes, attitudes across social classes become more similar as inequality rises. Utilisant les données de World Values Survey et indicateurs de niveau national, nous évaluons l'influence de la classe sociale et l'inégalité économique sur les préférences en matière de responsabilité du gouvernement dans 24 démocraties modernes. Notre analyse se améliore sur la recherche précédente en utilisant des modèles à plusieurs niveaux qui tiennent compte des différences dans les attitudes au sein (ce est à dire, au fil du temps) et entre les pays. Nos résultats sont cohérents avec l'hypothèse d'auto‐ intérêt économique. Par exemple, les travailleurs ‐ qui ont tendance à bénéficier plus quand le gouvernement intervient dans l’économie en raison de leurs faibles revenus et souvent position plus précaire ‐ sont plus susceptibles que d'autres à un soutien responsabilité du gouvernement. Nous constatons également une relation positive entre l'inégalité des revenus au niveau national et le soutien à l'intervention du gouvernement. Comme l'inégalité des revenus se élève—et ses maux sociaux ont tendance à être plus répandue—l'opinion publique devient plus favorable des gouvernements assument la responsabilité de citoyens. Tout aussi important, cependant, nous démontrons également que la relation entre la social classe et les préférences pour la responsabilisation du gouvernement diffèrent par la quantité de l'inégalité des revenus dans un pays. Bien que l'effet de l'inégalité des revenus est positif pour toutes les classes sociales, les différences dans les attitudes de la classes sociale convergent que l'inégalité augmente.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.264
GPT teacher head0.387
Teacher spread0.123 · 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

Citations49
Published2015
Admission routes1
Has abstractyes

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