Perceived vulnerability to alcohol-related harm in young adults: Independent effects of risky alcohol use and drinking motives.
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
Perceived vulnerability to negative outcomes can motivate heavy drinkers to adopt health-protective behavior, but little is known about determinants of perceived vulnerability to alcohol-related harm. University students (N = 286) were assessed to determine epidemiological risk status on a standardized problem drinking measure, typical reasons for drinking and cutting down, and perceived risk of experiencing alcohol-related harm. Results showed a positive relationship between problem drinking status and perceived risk of experiencing harm. However, at-risk drinkers believed that they were less likely to personally experience harm than comparable peers (p < .001), whereas not-at-risk drinkers showed no self-other differences in perceived vulnerability. Drinking motives significantly improved the prediction of perceived vulnerability when epidemiological risk status was controlled. Perceived vulnerability to alcohol-related harm is affected by problem drinking status and (independently) by the psychological functions that drinking serves.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it