Desarrollos recientes sobre el consumo global de alcohol y consumos de alto riesgo: argumentos a favor de las intervenciones efectivas a nivel de población en Canadá Recent Developments in Overall Alcohol Consumption and High Risk Drinking: A Case for Effective Population Level Interventions in Canada
Bibliographic record
Abstract
There is growing evidence of extensive damage from alcohol to chronic disease, trauma, social problems and high economic costs. In a number of countries there has been an increase in consumption and/or high risk drinking in recent years. However, it appears that in many context alcohol management is not yet of high priority. Canada has experienced several developments in recent years: a gradual increase in overall consumption, an increase in high risk drinking, more extensive marketing and promotion of alcoholic beverages, and easier access to alcohol. Survey data for Canada, and for Ontario, the most populous province, indicate that the proportion drinking 5+ per occasion has increased since the mid-1990s. Overall, alcoholrelated harm has been conservatively estimated to contribute to $14 billion to social costs using 2002 Canadian data. There are a national and several provincial-level alcohol strategies designed to reducing alcohol-related problems, but they are at the proposal, not full-scale implementation, stage. In order to generate effective, efficient and decisive action and reduce overall harm, several recommendations are highlighted: an increase in alcohol pricing/taxation, a ceiling on further access via controls on outlet density and hours of sale, a rejuvenation of the control functions of liquor boards, and the resources to effectively implementation these measures.
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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".