Opposition to redistributive employment policies for women: The role of policy experience and group interest
Bibliographic record
Abstract
We examined whether group interest affected ideological beliefs and attitudes towards redistributive policies among men and women. We found that group interest influenced meritocratic and neo-sexist beliefs and support for gender-based affirmative action and comparable worth policies. Men and women differed in their ideological beliefs and support for the redistributive policies only when they had conscious experience with these policies. Those with policy experience expressed policy attitudes that corresponded with their gender group's interests, while those lacking such experience did not. We also noted group interest effects within each gender: men who had conscious experience with the policies expressed more opposition and greater neo-sexism and meritocratic beliefs than did men who were not consciously experienced with these policies. In contrast, consciously experienced women expressed more policy support than did their not consciously experienced counterparts. Overall, our findings indicate that group interest is an important determinant of policy attitudes and related ideological beliefs.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".