Clear criteria based on absolute risk: Reforming the basis of guidelines on low‐risk drinking
Bibliographic record
Abstract
ISSUES: The paper discusses the approach behind the Australian Guidelines to Reduce Health Risks from Drinking of 2009. The Guidelines involved a new approach to the central conundrum of low-risk drinking guidelines: how to set a guideline threshold on smooth risk curves. APPROACH: The context of the 2009 Guidelines is discussed in terms of previous Australian guidelines and of risk analyses and threshold setting for other risks to health and well-being, such as environmental and food toxins. The Guidelines were accordingly based on new lifetime risk modelling of absolute risk, with specification of the risk attached to the guideline thresholds of 1 in 100 lifetime mortality risk. The Guidelines thus specify no more than two Australian standard drinks a day, and no more than four drinks on any occasion. IMPLICATIONS AND CONCLUSIONS: The approach described brings alcohol guidelines within a general analytical frame of guidelines and standards for hazards to health. At the level of 1 in 100 lifetime risk, there is little justification for different guidelines for men and women. On grounds of differential risk, separate guidelines for young adults might be considered, but could not be based on lifetime risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".