Bibliographic record
Abstract
It is well-established that coping and enhancement drinking motives predict college student drinking and that personality traits predict drinking motives. Little is known, however, about personality and drinking patterns among individuals who drink for both enhancement and coping reasons. University students in the current study completed questionnaires assessing personality, alcohol use, and drinking motives. Past year drinkers (N=138) were categorized into one of four groups: coping, enhancement, coping + enhancement, and noninternally motivated drinkers. Drinking was lower among noninternally motivated drinkers and higher among coping motivated drinkers; coping + enhancement motivated drinkers reported drinking at levels most consistent with the coping group. Coping motivated drinkers reported higher levels of neuroticism, negative affect, and anxiety sensitivity, and lower levels of positive affect; coping + enhancement motivated drinkers were not significantly different from the other groups on personality traits. Although coping + enhancement motivated drinkers may be at risk for problem drinking, they may be difficult to identify via personality measures.
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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 | 0.000 |
| 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) | 0.002 | 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".