Frequency of Binge Drinking and Perception of Peer Alcohol Use
Bibliographic record
Abstract
OBJECTIVES: College and university student binge drinking is a critical health issue, and studies demonstrate students perceive high rates of drinking among their peers. High alcohol consumption and binge drinking are normalized throughout college and university, and there are gross misperceptions of perceived alcohol use among peers. The purpose of our study was to examine differences in perceptions of peer alcohol use after grouping students based on their frequency of binge drinking over a 2-week period. METHODS: A one-way analysis of variance test was used to compare the differences in the perception of peer alcohol use after grouping students by their frequency of binge drinking. RESULTS: Students who binge drink have significantly higher perceptions of peer alcohol use than their non-binge-drinking and abstaining peers. CONCLUSIONS: These findings provide direction toward the feasibility of using perceptions of peer alcohol use to identify at-risk students to curtail dangerous drinking behavior.
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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 | 0.000 | 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) | 0.000 | 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".