Mortality in Innu communities in Labrador, 1993-2018: a cross-sectional study of causes and location of death
Bibliographic record
Abstract
In Canada, most people prefer to die at home. However, the proportion of deaths that occur in hospital has increased over time. This study examined mortality rates and proportionate mortality in Innu communities in Labrador, and compared patterns to other communities in Labrador and Newfoundland. We conducted a cross-sectional ecological study with mortality data from the vital statistics system. This included information about all deaths in Newfoundland and Labrador from 1993 to 2018. We used descriptive statistics and rates to examine patterns by age, sex, cause and location. During the 2003 to 2018 period the leading cause of death in the Innu communities (excluding external causes) was cancer, followed by circulatory disease and respiratory disease. Between 1993 and 2018, there was a lower percentage of hospital deaths and a higher percentage of at home deaths in Innu communities than in the rest of the province. The majority of deaths among Innu were due to cancer and chronic diseases. We found a higher percentage of at home deaths in Innu communities compared to the rest of the province.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".