Potential years of life lost at ages 25 to 74 among Métis and non-Status Indians, 1991 to 2001.
Bibliographic record
Abstract
BACKGROUND: Aboriginal peoples experience a disproportionate burden of disease, compared with other Canadians. However, relatively little information is available about mortality among Métis and non-Status Indians. METHODS: This study calculates potential years of life lost before age 75 (PYLL) for people aged 25 to 74 by all-cause and cause-specific mortality, and examines the effect of socio-economic factors on premature mortality. Age-specific and age-standardized PYLL rates were calculated for 11,600 Métis, 5,400 non-Status Indians, and 2,475,700 non-Aboriginal adults based on the number of person-years at risk up to age 75. RESULTS: Métis and non-Status Indian adults had about twice the risk of dying before age 75, compared with non-Aboriginal adults. While the largest percentage of PYLL was due to non-communicable diseases such as cardiovascular disease and cancer, relative and absolute inequalities were greatest for injuries. Socioeconomic indicators such as income, education and employment explained a large share of the disparities in premature mortality. INTERPRETATION: The results highlight the losses of potential years of life due to chronic diseases, as well as the possible importance of injury prevention programs for Métis and non-Status Indians.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".