Relationship (in)security is central to the sources and outcomes of sexist attitudes
Bibliographic record
Abstract
Abstract Ambivalent sexism theory recognizes that sexist attitudes maintain gender inequalities via sociocultural and close relationship processes. This review advances established work on sociocultural processes by showing how people's need for relationship security is also central to the sources and functions of sexism. Men's hostile sexism—overtly derogatory attitudes toward women—involves insecurities about women exploiting men's relational dependence. Accordingly, men's hostile sexism predicts relational aggression when their dependence on partners is risky. Men's benevolent sexism—patronizing and protective attitudes toward women—offers men relationship security by idealizing traditional gender roles in romantic relationships. Benevolent sexism also appeals to women who seek the security of a devoted partner, but requires women to invest in their relationship at the expense of their independence. Our relationship science perspective reveals that romantic (in)security is critical to why people adopt sexist attitudes and why sexist attitudes create differential costs and benefits for women and men.
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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 | 0.000 | 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 | 0.001 | 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 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".