Binge drinking among underage college students: A test of a restraint-based conceptualization of risk for alcohol abuse.
Bibliographic record
Abstract
The authors tested a restraint-based model that binge drinking is a function of being tempted to drink alcohol while also being concerned about avoiding excessive alcohol intake. Underage (18- to 20-year-olds, 204 men and 225 women) college student drinkers completed measures that assessed the attraction to alcohol (e.g., temptation to drink, alcohol expectancies), concern about regulating alcohol intake (e.g., restriction of alcohol intake, reasons for limiting drinking), and alcohol-related outcomes (binge drinking, alcohol problems). In separate hierarchical multiple regressions, the attraction to alcohol accounted for significant amounts of additional variance in each of the alcohol outcomes. Concern about regulating alcohol intake accounted for additional variance, above that explained by attraction to alcohol. The results suggest that interventions for underage binge drinking should include training in the skills for regulating alcohol intake.
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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 | 0.002 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".