Do Voters Judge the Performance of Female and Male Politicians Differently? Experimental Evidence from the United States and Australia
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
Do gender stereotypes about agency affect how voters judge the governing performance of political executives? We explore this question using two conjoint experiments: one conducted in the United States and the other in Australia. Contrary to our expectations, we find no evidence in either experiment to suggest that female political executives (i.e., governors, premiers, and mayors) receive lower levels of credit than their male counterparts for positive governing performance. We do find evidence that female executives receive less blame than male executives for poor governing performance—but only in the U.S. case. Taken together, our findings suggest that the stereotype of male agency has only a limited effect on voters’ retrospective judgments. Moreover, the results indicate that—when performance information is presented in unframed, factual terms—agentic stereotyping by voters does not, in itself, present a serious obstacle to the re-election of women in powerful executive positions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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