Government ideology and support for redistribution among the wealthy
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
Abstract When and why do wealthy individuals support redistribution? Under standard political economy models, preferences for redistribution are a function of material conditions. The partisanship literature, on the contrary, argues that partisan identification determines redistributive preferences. We move beyond this dichotomy to argue that the ideology of the government enacting redistribution is a key factor explaining support for redistribution among the wealthy. Through survey experiments during the 2022 Colombian election, we find that the wealthy are more likely to support redistribution under a right-wing government and expect redistribution under the Right to be more efficient and less economically disruptive. We find heterogeneous treatment effects across ideological groups. However, regardless of ideology, the wealthy do not expect macroeconomic instability from right-wing redistribution.
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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 | 0.020 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| 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