Barroom aggression perpetration by Australian women: Associations with heavy episodic drinking, trait aggression, and conformity to gender norms
Bibliographic record
Abstract
Heavy episodic drinking (HED), trait aggression, and conformity to masculine norms increase the risk of barroom aggression (BA) perpetration in men; however, research examining these factors relative to female BA perpetration is lacking. This study assessed the associations of HED, trait aggression, and conformity to masculine and feminine norms with BA perpetration in Australian women. Female university students (N = 148) aged 18–54 (Mage = 24.19; SDage = 6.84) completed an online questionnaire including measures of BA perpetration and HED, as well as the Brief Aggression Questionnaire, the Conformity to Feminine Norms Inventory (CFNI), and the Conformity to Masculine Norms Inventory (CMNI). Negative binomial regression analyses found HED, trait aggression, and the Violence and Playboy subscales of the CMNI were positively associated with BA perpetration, while the Domestic and Sexual Fidelity subscales of the CFNI were negatively associated with BA perpetration. Norms supporting the use of violence and having multiple sexual partners are associated with increased likelihood of female BA perpetration, while norms valuing domesticity and monogamy are associated with decreased likelihood of female BA perpetration. These findings suggest BA perpetration by women is related to how much they drink, trait aggression, and socialized gender norms.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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".