Change and continuity in the ideological gender gap a longitudinal analysis of left‐right self‐placement in OECD countries
Bibliographic record
Abstract
Abstract When asked to place themselves on a left‐right scale, men and women tend to take different positions. Over time, however ideological gender differences have taken a different form. While women were traditionally more right‐leaning than men, from around the mid‐1990s onwards they have been found to take positions to the left of men. Using an originally constructed dataset that includes information on the left‐right self‐placement of more than 2.5 million respondents in 36 OECD countries between 1973 and 2018, I empirically verify how the ideological gender gap has evolved since. The results show, first, that while women have shifted to the left since the late 1970s, the pace of this change has strongly diminished since the late 1990s. Second, there is important between‐country variation in the size of the reversal in the ideological gender gap. Third, with the exception of the Silent generation and the Baby‐boomers, newer generations of women have not taken more left‐leaning positions than generations before them.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".