Bibliographic record
Abstract
This paper examines access to alcohol, trends in consumption, drinking patterns, damage from alcohol, and developments in prevention and alcohol policy – focusing on the Canadian experience over the last two decades. Consumption, as measured by official sales, declined initially and then has increased since 1996. During this time there was a gradual increase in access to alcohol, with steeper increase in some jurisdictions undergoing partial or full privatization of retail alcohol sales. According to survey data, the proportion drinking in a high risk manner is greater among youth and young adults, and the trend in the proportion of high risk drinkers does not necessarily follow the trend in alcohol sales. In light of intensive and multi-dimensional efforts to curtail drinking and driving, these rates have gone down during the period under study. Several provinces have introduced alcohol strategies and a national strategy introduced in 2007 is being implemented. Nevertheless there are ongoing challenges of getting alcohol on the broader public health agenda, even though it is major contributor to disease and disability. The rising consumption and increased access to alcohol, combined with intensive marketing, represent a major public health challenge. It is unlikely that there will be significant strides in reducing the damage from alcohol to Canadian populations, unless there is a substantial change in the status quo involving implementation of the most effective policies and prevention strategies.
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 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.065 | 0.013 |
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".