Factors Associated with Unwanted Sexual Attention in Australian Nightlife Districts: An Exploratory Study of Nightlife Attendees
Bibliographic record
Abstract
BACKGROUND: Experiences of unwanted sexual attention (UWSA) are commonplace within nightlife environments. While typically associated with aggression perpetration, literature has suggested that a history of childhood corporal punishment (CCP) may also be related to experiences of victimisation in nightlife environments. The current exploratory study aims to examine the associations between experiences of UWSA victimisation and a history of CCP, trait aggression, and conformity to masculine norms (Playboy and Winning), for males and females separately. METHOD: Street intercept interviews in the Brisbane inner-city entertainment precincts were used to measure demographic details and participants' breath alcohol concentration. Online follow-up surveys were used to record participants' experiences of UWSA on the night of interview, history of CCP, and self-reported rates of trait aggression and conformity to masculine norms. The final sample consisted of 288 females, as there were not sufficient male UWSA experiences for analysis. RESULTS: Approximately 20% of female nightlife patrons experienced some form of UWSA victimisation. Logistic regression analyses identified that after controlling for age and intoxication, a history of CCP, trait aggression and masculine norm conformity were unrelated to experiences of UWSA for female respondents. CONCLUSIONS: The current study found that individual factors were unrelated to experiences of UWSA, indicating that simply being in the nightlife environment, especially as a female, increases the risk of UWSA victimisation. Understanding and exploring social and environmental risk factors, rather than individual factors, is needed to prevent victimisation in nightlife environments.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".