Drinking on campus: self-reports and breath tests.
Bibliographic record
Abstract
OBJECTIVE: Concern about excessive alcohol consumption by college students has been raised by surveys indicating that more than 40% of students are "heavy" drinkers. This definition is based on students' reports of consuming five or more drinks (four or more for women) on an occasion sometime during the past 2 weeks. The present survey examines the degree to which this 2-week 5+/4+ drink criterion characterizes a student's pattern of alcohol use, and whether a 5+/4+ criterion for a drinking occasion is a valid indicator of high blood alcohol concentration (BAC). METHOD: Students (N = 856, 70% male) were interviewed as they returned home between 10 PM and 3 AM. Students reported their drinking of the past 2 weeks and of the night they were interviewed, then provided breath samples to determine their BAC. RESULTS: Among the students in the sample classified as "heavy" drinkers on the basis of self-reports, 49% had zero BAC on the night they were interviewed. Those who reported consuming 5+/4+ drinks the evening of the interview had a mean BAC <0.08%. The distribution of BACs in the entire sample showed 74.4% of students had a BAC of zero and 11.8% had a BAC <0.05%. Very high BACs (i.e., > or =0.15%) were rare (1.3%). CONCLUSIONS: Self-reports of consuming 5+/4+ drinks on at least one occasion during the previous 2 weeks did not reliably identify a pattern of heavy drinking. Moreover, reports of 5+/4+ drinks on an occasion were not necessarily associated with high BACs.
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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".