Diabetes Prevalence and Care in the Métis Population of Ontario, Canada
Bibliographic record
Abstract
OBJECTIVE: The Métis are a distinct Aboriginal people in Canada with a unique history, culture, and language. This study examined diabetes prevalence and care in the Métis of Ontario. RESEARCH DESIGN AND METHODS: The 14,480 people in the citizenship registry of the Métis Nation of Ontario were linked with provincial health care databases to determine diabetes prevalence and processes of care. Rates were compared between the Métis and the general Ontario population. RESULTS: The age/sex standardized prevalence of diabetes for the Métis was 11.2%, nearly 25% higher than that of the general Ontario population. Métis were more likely to be hospitalized (12.7 vs. 10.7%) or require emergency room visits (36.1 vs. 27.7%). CONCLUSIONS: Métis people have an increased burden of diabetes that puts them at risk for complications and morbidity. Ensuring adequate access to and quality of care for diabetes is essential to maintain the health of the Métis people.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".