Premature mortality in health regions with high aboriginal populations.
Bibliographic record
Abstract
OBJECTIVES: Potential years of life lost (PYLL) before age 75 in health regions with a relatively high proportion of Aboriginal residents is compared, by cause of death, with all other health regions. DATA SOURCES: The findings are based on mortality data for 1995 through 1997 from the Canadian Vital Statistics Database, and on population estimates for 1995, 1996 and 1997 at the health region level. ANALYTICAL TECHNIQUES: PYLL was calculated by age and sex for two groups of health regions: the 18 with a high proportion (19% or more) of Aboriginal residents and the remaining 120, which had smaller proportions of Aboriginal residents. PYLL rate differences and rate ratios were used to compare the two groups. MAIN RESULTS: The PYLL rate per 1,000 person-years at risk for all causes of death was about 50% greater in the high-Aboriginal health regions than in the other group. Almost 40% of total PYLL in high-Aboriginal health regions was attributable to injuries, notably, suicide and motor vehicles accidents.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".