High-Risk Drinking Among College Fraternity Members: A National Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This survey, with its 85% response rate, provides an extensive profile of drinking behaviors and predictors of drinking among 3,406 members of one national college fraternity, distributed across 98 chapters in 32 states. Multiple indexes of alcohol consumption measured frequency, quantity, estimated blood alcohol concentration levels (BACs), and related problems. Among all members, 97% were drinkers, 86% binge drinkers, and 64% frequent binge drinkers. On the basis of self-reports concerning the 4 weeks preceding the time of survey, the authors found that members drank on an average of 10.5 days and consumed an average of 81 drinks. Drinkers had an average BAC of 0.10, reaching at least 0.08 on an average of 6 days. These fraternity members appear to be heavier drinkers than previously studied fraternity samples, perhaps because they were more representative and forthright. All 6 preselected demographic attributes of members and 2 chapter characteristics were significantly related to the drinking behaviors and levels of risk, identifying possible targets for preventive interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it