Prevalence and determinants of diabetes mellitus among the M�tis of western Canada
Bibliographic record
Abstract
Diabetes and its complications are major contributors to morbidity and mortality among Canada's Aboriginal populations. The epidemiology of diabetes among the Métis has not yet been investigated. The purpose of this study was to determine the prevalence of diabetes among the Métis, to identify diabetes risk factors, and to test hypotheses related to diabetes etiology. The source of the data for this research was the Aboriginal Peoples Survey (APS), a postcensal survey conducted by Statistics Canada in 1991. Study populations included the APS self-identified Métis and North American Indians of western Canada. Univariate and multivariate analyses were done to estimate the prevalence of diabetes and to identify diabetes risk factors. Multiple logistic regression was performed to test etiological hypotheses regarding the determinants of diabetes. The crude prevalence of diabetes among the Métis (6%) was slightly less than that reported by North American Indians (7%) and twice the general rate for Canada (3%). Diabetes was significantly associated with age, sex, obesity, and level of education. The APS dataset was useful in establishing diabetes as a significant problem among the Métis. Am. J. Hum. Biol. 12:542-551, 2000. Copyright 2000 Wiley-Liss, Inc.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".