Gender and sexual identity and harms from others’ drinking among U.S. college students: Results from a multi-campus survey
Bibliographic record
Abstract
Background College is a critical life stage for alcohol-related harms to others (AHTOs), gender, and sexual identity. We tested associations between inclusively-defined gender and sexual identities (separately) and AHTOs among college students. Methods The Healthy Minds Study (n = 8,308) provided data about three AHTOs: (1) babysitting a drunk student, (2) alcohol-related unwanted sexual advance, and (3) alcohol-related sexual assault. Independent variables included gender and sexual identity. Results One in four students (25.5%) reported babysitting, 6.2% reported unwanted advances, and 1.2% reported sexual assaults. Compared to cisgender males, cisgender females had higher odds of reporting babysitting (aOR = 1.36, p < 0.001) and unwanted advances (aOR = 2.59, p < 0.001); trans masculine students had higher odds of reporting sexual assaults (aOR = 4.49, p = 0.04). Conclusions AHTOs are prevalent on college campuses, and cisgender female and trans masculine students have higher odds of experiencing them. Alcohol interventions may protect cisgender female and gender minority students from the drinkers around them.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".