Alcohol’s Harm to Others: Opportunities and Challenges in a Public Health Framework
Bibliographic record
Abstract
The emergent and growing body of research on alcohol's harm to others (AHTO), or secondhand effects of drinking, has important implications for prevention, intervention, and policy. Those victimized by other drinkers tend to favor effective alcohol policies more than their nonvictimized peers, but often a community's impulse will be to combat AHTO by targeting and stigmatizing individual heavy drinkers, rather than taking a public health approach to reducing harm. Here we discuss opportunities and challenges in selecting ways of reducing AHTO. We make a case for adopting joint public health and individual approaches to reduce AHTO.
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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 | 0.076 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.003 |
| Science and technology studies | 0.021 | 0.075 |
| Scholarly communication | 0.032 | 0.031 |
| Open science | 0.008 | 0.027 |
| Research integrity | 0.030 | 0.036 |
| Insufficient payload (model declined to judge) | 0.006 | 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".