"Locker room talk": the impact of men degrading women to other men
Bibliographic record
Abstract
The present research examines the effects of “locker room talk” by exploring whether conversations among men about sexual activity with women give rise to sexist and rapepromoting attitudes. Male participants listened to an audio recording of either degrading or respectful “locker room talk”. Those exposed to the degrading conversation were expected to exhibit more negative attitudes toward women and stronger rape condoning attitudes. In addition, sexist males were expected to delegate masculine status to men who degraded women. Hypothesis one was not supported, but hypothesis two received partial support: Relative to men lower in sexism, males with higher sexism scores allocated masculine status to men who talked about their sexual encounters regardless of the conversation’s degrading or respectful nature. Men scoring higher in sexism were more likely to endorse rapesupportive attitudes, to hold negative attitudes towards women, and to objectify the woman being discussed in the conversation.
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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) | 0.004 | 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".