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Record W2954603946 · doi:10.1162/daed_a_01752

Failure to Respond to Rising Income Inequality: Processes That Legitimize Growing Disparities

2019· article· en· W2954603946 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

VenueDaedalus · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of GuelphWilfrid Laurier University
Fundersnot available
KeywordsRedistribution (election)InequalityEconomic inequalityDissentPoliticsSocial inequalityEconomicsContext (archaeology)Development economicsRedistribution of income and wealthIncome inequality metricsPolitical sciencePolitical economyDemographic economicsLabour economicsEconomic growthUnemploymentLawGeography

Abstract

fetched live from OpenAlex

Why is there not more public outcry in the face of rising income inequality? Although public choice models predict that rising inequality will spur public demand for redistribution, evidence often fails to support this view. We explain this lack of outcry by considering social-psychological processes contextualized within the spatial, institutional, and political context that combine to dampen dissent. We contend that rising inequality can activate the very psychological processes that stifle outcry, causing people to be blind to the true extent of inequality, to legitimize rising disparities, and to reject redistribution as an effective solution. As a result, these psychological processes reproduce and exacerbate inequality and legitimize the institutions that produce it. Finally, we explore ways to disrupt the processes perpetuating this cycle.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.579
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.310
Teacher spread0.281 · 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