Alcohol: No Ordinary Commodity
Bibliographic record
Abstract
Abstract This book is about alcohol policy: why it is needed, how it is made, and the impact it has on health and well-being. It is written for both policymakers and alcohol scientists, as well as the many other people interested in bridging the gap between research and policy. It begins with a global review of epidemiological evidence showing why alcohol is not an ordinary commodity, and it ends with the conclusion that alcohol policies implemented within a public health agenda are needed to reduce the enormous burden of harm it causes. The core of the book is a critical review of the cumulative scientific evidence in seven general areas of alcohol policy: pricing and taxation; regulating the physical availability of alcohol; modifying the environment in which drinking occurs; drink-driving countermeasures; marketing restrictions; primary prevention programmes in schools and other settings; and treatment and early intervention services. The final chapters discuss the current state of alcohol policy in different parts of the world, the detrimental role of the alcohol industry, and the need for both national and global alcohol policies that are evidence-based, effective, and coordinated. This book shows that opportunities for evidence-based alcohol policies that better serve the public good are clearer than ever before, as a result of accumulating knowledge on which strategies work best.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.069 | 0.002 |
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; both teacher heads agree on what is shown here.
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".