Illegal Drug-Attributable Mortality and Potential Years of Life Lost in Canada 2002: Implications for Prevention and Policy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article estimates the deaths and years of life lost due to use of illegal drugs in Canada in the year 2002. In 2002, for Canada, 1,695 deaths were attributable to illegal drug use, 0.8% of all deaths: 1,183 of men (1.0%) and 512 in women (0.5%). Main causes of illegal drug use-attributable death were drug overdose, suicide, and hepatitis C. In 2002 in total, 62,110 years of life were lost prematurely, 42,306 years among men and 19,805 years among women. Illegal drug use constitutes a major contributor to the burden of mortality in Canada. A mixture of prevention and harm reduction measures is proposed to reduce the burden of mortality associated with drug use.
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.
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) | 0.000 | 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 it