Characteristics of Former Heavy Drinkers: Results from a Natural History of Drinking General Population Survey
Bibliographic record
Abstract
This study explored the factors associated with reduction from heavy drinking among three groups: current abstinent, moderate, and reduced drinkers. A random-digit-dialing telephone survey was conducted of 3,006 respondents in Ontario, Canada. Of these, 470 respondents (46% female) met criteria as former heavy drinkers (99 abstinent; 237 moderate; 134 reduced but not moderate drinkers). Quantitative and qualitative questions were used to explore current and past drinking, use of treatment, and reasons for change. Qualitative items were tape-recorded and transcribed. Respondents in the abstinent group had more severe problems prior to resolution as compared with those in the moderate group. Reduced drinkers displayed a prior alcohol severity at a level between these two other groups. The most common reasons for change in all groups were new responsibilities, maturation, and health concerns. This study serves as a useful adjunct to other natural-history research, exploring the reasons for change in a representative sample of former heavy drinkers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".