Abortion Attitudes: An Overview of Demographic and Ideological Differences
Why this work is in the frame
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Bibliographic record
Abstract
Despite being a defining issue in the culture war, the political psychology of abortion attitudes remains poorly understood. We address this oversight by reviewing existing literature and integrating new analyses of several large‐scale, cross‐sectional, and longitudinal datasets to identify the demographic and ideological correlates of abortion attitudes. Our review and new analyses indicate that abortion support is increasing modestly over time in both the United States and New Zealand. We also find that a plurality of respondents (43.8%) in the United States are consistently “pro‐choice,” whereas 14.8% are consistently “pro‐life,” across various elective and traumatic abortion scenarios. We then show that age, religiosity, and conservatism correlate negatively, whereas Openness to Experience correlates positively, with abortion support. New analyses of heterosexual couples further reveal that women's and men's religiosity decrease their romantic partner's abortion support. Noting inconsistent gender differences in attitudes toward abortion, we then discuss the impact of traditional gender‐role attitudes and sexism on abortion attitudes and conclude that, rather than misogyny, benevolent sexism—the belief that women should be cherished and protected—best explains opposition to abortion. Our review thus provides a comprehensive overview of the demographic and ideological variables that underly abortion attitudes and, hence, the broader culture war.
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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