Binge Drinking in Adulthood: The Influence of Gender, Age, and Beverage Exclusivity
Bibliographic record
Abstract
Past research has shown that men, young adults, and beer drinkers engage in the highest rates of binge drinking behavior. However, studies of binge drinking have tended to focus on main effects over interactions, especially in samples of college students and other young adults. The present study used the 1994 Canada’s Alcohol and Other Drugs Survey to explore the interactions among gender, age, and beverage exclusivity when studying heavy drinking behavior. The findings replicated prior main effects research and extended the age findings to later adulthood. The interactions, however, revealed that gender differences were smaller in older adults and were entirely absent in wine drinkers; age differences also were found across beverage exclusivity categories. However, the amount of variability explained by the model suggests that other factors have more power in explaining binge drinking behavior. The need to study binge drinking in more heterogenous samples, with other variables, is discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".