Personality and Daily Alcohol Use Across University: Interactions with Academically Intense Events Predicting Alcohol Use Problems
Bibliographic record
Abstract
Extraversion and neuroticism are associated with alcohol use problems in university.Students higher in extraversion have heavier alcohol use, while neuroticism is not consistently associated with alcohol use.This study examined the hypothesis that students higher in neuroticism may drink in anticipation of stressors, namely tests and assignments, using archival data taken from the University Life Study, a longitudinal study assessing alcohol use across four years of university, with daily diary bursts each semester.Students higher in extraversion had heavier alcohol use and had increased alcohol use problems.Neuroticism was not associated with drinking outcomes, drinking before a test or assignment, or alcohol problems.Students lower in extraversion, or higher in introversion, who consumed relatively more alcohol before tests and assignments had more alcohol use problems at the end of university.Drinking alcohol in anticipation of stressors can increase alcohol dependence risk for students lower in extraversion.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".