The risk of harm to oneself from drinking, Canada 1989
Bibliographic record
Abstract
In a national sample of 11,634 Canadians aged 15 years and above, risk curves for harm to six life-areas from one's own drinking and for assault by another drinker rose steadily with the respondent's volume of alcohol consumption. While drinking five or more drinks on an occasion at least once a month substantially raised the risk at a given volume of drinking, the risk rose with volume even among those not regularly drinking five or more drinks. These relationships remained in logistic regressions which controlled for gender, age and educational level. Younger respondents, those without higher education and men reported more harm for a given level of their own drinking although differences by gender disappeared above one-third of one drink per day. Three sets of guidelines for low-risk drinking--two from Canada, and one generally used in Britain--were compared in terms of the proportions of respondents reporting harm from their own drinking among those who had kept within the guideline in the previous 7 days' drinking. More restrictiveness in the guidelines was associated with substantial reductions in reported drinking-related harm.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".