The Gender Gap in Political Discussion Group Attendance
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Although women and men enjoy formally equal political rights in today's democracies, there are ongoing gaps in the extent to which they make use of these rights, with women underrepresented in many political practices. The gender gap in democratic participation is problematic because gendered asymmetries in participation entail collective outcomes that are less attentive to women's needs, interests, and preferences. Existing studies consider gender gaps in voting behavior and in certain forms of nonelectoral politics such as boycotting, signings a petition, or joining a protest. However, almost no work considers gendered variation in discursive politics. Do women participate in small, face-to-face political discussion groups at the same rate as men? And does gender intersect with other identities—such as ethnicity—to impact attendance at political discussion groups? I use data from the Canadian Election Study 2015 Web Survey to answer these questions. I find that women are significantly less likely to attend small-group discussions than men and that ethnicity intersects with gender in some important ways. However, I find no evidence that other social attributes—poverty or the presence of young children in the home—suppress women's participation in political discussion groups more than men's.
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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 | 0.000 |
| 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