Alcohol Consumption and Alcohol-related Mortality in
Bibliographic record
Abstract
Objective: To describe trends in overall alcohol consumption and alcohol-related mortality in Canada, and to test regional associations between per capita alcohol consumption and alcohol-related mortality. Method: Alcohol sales for 1950-2000 were used to measure total alcohol consumption; alcohol-related mortality consisted of nine different alcohol-related causes of death for 1950-1998. Alcohol consumption and alcohol-related mortality were described for 1950-2000, and measures of dispersion were calculated to assess the homogeneity across regions. Findings: Both alcohol consumption and alcohol-related mortality increased in all regions up to 1975-80 and then underwent a decline until the 1990s. Since 1996, consumption began to increase. Beer represented more than half of the total consumption throughout the study period, although overall, the share of wine increased, particularly in the larger provinces. Over time there have been fewer differences in per capita consumption and alcohol-related mortality rates across the regions. A strong positive cross-regional
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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 | 0.002 |
| 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) | 0.002 | 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".