Cohort Change in Political Gender Gaps in Europe and Canada: The Role of Modernization
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
This article finds firmer evidence than has previously been presented that men are more left-wing than women in older birth cohorts, while women are more left-wing than men in younger cohorts. Analysis of the European Values Study/World Values Survey provides the first systematic test of how processes of modernization and social change have led to this phenomenon. In older cohorts, women are more right-wing primarily because of their greater religiosity and the high salience of religiosity for left-right self-placement and vote choice in older cohorts. In younger, more secular, cohorts, women’s greater support for economic equality and state intervention and, to a lesser extent, for liberal values makes them more left-wing than men. Because the gender gap varies in this way between cohorts, research focusing on the aggregate-level gap between all men and all women underestimates gender differences in left-right self-placement and vote choice.
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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 | 0.000 | 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 | 0.000 |
| 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