The party’s not over: Living situation, perceived party norms, and drinking games behavior among college students during the pandemic (COVID-19)
Bibliographic record
Abstract
Objective: Playing drinking games (DGs) is a common, socially-interactive risky drinking activity. During the pandemic, many students either returned home to live with their parents or remained on campus. Because DGs often require social interaction, playing DGs in-person can increase students’ risk for COVID-19 exposure. Thus, we examined whether living situation and perceptions of one’s college/university as a party school increased risk for playing DGs in-person during a pandemic. Method: Students who reported recent alcohol use from 12 colleges/universities (n = 874; Mage = 19.38/SDage = 1.40; 75.6% White) completed self-report measures of alcohol use, DGs participation, demographics, and residential status in Fall 2020 to Spring 2021. Univariate and multivariate analyses were conducted. Results: Overall, 62.8% of students played DGs in-person during the pandemic. Those who lived with roommates were at increased risk compared to those who lived with parents. Conclusions: Given health risks of playing DGs in-person, targeted efforts may be warranted among at-risk students.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".