The basis for Canada's new low‐risk drinking guidelines: A relative risk approach to estimating hazardous levels and patterns of alcohol use
Bibliographic record
Abstract
ISSUE: Low-risk drinking guidelines have been developed independently in a number of jurisdictions resulting in different sets of advice with different definitions of 'low risk'. This paper discusses some of the fundamental issues addressed by an expert advisory panel during the course of developing national guidelines for Canadians and summarises key sets of evidence that were influential. APPROACH: The underlying reasoning and connection between the evidence and the guidelines is discussed in relation to: (i) how to minimise risk of long-term illnesses; (ii) how to minimise risk of short-term harms, for example injury; and (iii) alcohol use during pregnancy. Both absolute and relative risks were considered in the development of the guidelines. FINDINGS: Meta-analyses of all-cause mortality were used to identify upper limits for usual drinking levels where potential benefits and risks were balanced for the average person in comparison with lifetime abstainers (10 standard drinks per week for women, 15 for men). Emergency room studies and situational risk factors were considered for advice on reducing short-term: (i) when not to drink at all; (ii) how to reduce intoxication; and (iii) upper limits for occasional daily consumption by adults aged 25 to 64 years (3 standard drinks for women, 4 for men). Shortcomings in the research data were highlighted. IMPLICATIONS: It was estimated that total compliance with these guidelines at a national level would result in substantially reduced per capita alcohol consumption and approximately 4600 fewer deaths per year.
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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 | 0.145 | 0.310 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.015 | 0.016 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.011 | 0.004 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.002 | 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".