Failure to Respond to Rising Income Inequality: Processes That Legitimize Growing Disparities
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.
Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it