Yet another dark side of chivalry: Benevolent sexism undermines and hostile sexism motivates collective action for social change.
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
The current research tests a model for understanding how benevolent sexism undermines, whereas hostile sexism promotes, social change. Study 1 (N = 99) and Study 2 (N = 92) demonstrate that exposing women to benevolent sexism decreases their engagement in collective action, whereas exposure to hostile sexism increases it. Both effects were mediated by gender-specific system justification and perceived advantages of being a woman. In Study 2, positive and negative affect also mediated these relationships. Results from Studies 3 and 4 (N = 68 and N = 37) support the causal chain described in the mediational models tested in Studies 1 and 2. Manipulations that increased gender-specific system justification (Study 3) and perceived advantages of being a woman (Study 4) reduced intentions to participate in collective action.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it