“Every Male in There Is Your Competition”: Young Men's Perceptions Regarding the Role of the Drinking Setting in Male-to-Male Barroom Aggression
Bibliographic record
Abstract
The present paper explores young men's perceptions regarding the influence of the bar setting on male-to-male barroom aggression. Focus group interviews were conducted with 27 young men aged 18-25 in London, Ontario, Canada. Participants were given a description of a typical incident of aggression between men in bars and asked to discuss why the incident happened. The following themes pertaining to the role of the setting were identified: (1) sexual competition and male rivalry; (2) heightened concerns with image and social pressure to fight; (3) anonymity and taking on a different identity; (4) provocation and negative stimuli; (5) bar staff behavior; (6) acceptance and expectation of aggression; (7) high level of drunkenness; and (8) thrill, excitement, high energy level, and uncertainty of what might happen. These findings are discussed within a situational/crime prevention framework and prevention implications are highlighted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".