When Benevolence Backfires: Benevolent Sexists' Opposition to Elective and Traumatic Abortion<sup>1</sup>
Why this work is in the frame
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Bibliographic record
Abstract
Though gender‐role attitudes correlate with attitudes toward abortion ( Wang, 2004 ), past research has treated gender‐role attitudes as a unidimensional construct. The theory of ambivalent sexism ( Glick & Fiske, 1996 ) holds that attitudes toward women form 2 distinct ideologies; namely, benevolent and hostile sexism. The current study examined the relationship between these ideologies and attitudes toward elective and traumatic abortion in a sample of Internet users ( N = 529). As expected, both benevolent and hostile sexism predicted attitudes toward elective abortion, but only benevolent sexism predicted attitudes toward traumatic abortion. These results remained robust after controlling for important demographic factors. Such findings highlight the importance of differentiating between hostile and benevolent sexism when predicting attitudes toward complex issues.
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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 | 0.000 | 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