Understanding Public Support for Policies Aimed at Gender Parity in Politics: A Cross-National Experimental Study
Bibliographic record
Abstract
Abstract Across the globe, women are underrepresented in elected politics. The study's case countries of Australia (ranked 33), Canada (61) and the United States (66) rank poorly for women's political representation. Drawing on role strain and gender-mainstreaming theories and applying large-scale survey experiments, we examine public opinion on non-quota mechanisms to bolster women's political participation. The experimental design manipulates the politician's gender and level of government (federal/local) before asking about non-quota supports to help the politician. We find public support for policies aimed at lessening work–family role strain is higher for a woman politician; these include a pay raise, childcare subsidies and housework allowances. This support is amplified among women who are presented with a woman politician in our experiment, providing evidence of a gender-affinity effect. The study's findings contribute to scholarship on gender equality and point to gender-mainstreaming mechanisms to help mitigate the gender gap in politics.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 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 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".