Bibliographic record
Abstract
OBJECTIVES: To examine the impact of diabetes mellitus on the lives of the Métis of western Canada, and to determine the extent of co-morbidity among Métis with diabetes. DESIGN: The source of data was the Aboriginal Peoples Survey (APS), conducted by Statistics Canada in 1991. The survey was administered to a representative sample of Aboriginal peoples throughout Canada. Analysis was completed on self-identified Métis participants from the Canadian provinces of Manitoba, Saskatchewan and Alberta. RESULTS: Métis participants with diabetes were more likely than those without diabetes to report their health status as poor. Significantly greater numbers of Métis with diabetes reported activity limitations at work, at home and in leisure activities, the need for assistance with activities of daily living and difficulties with ambulation than did those without diabetes. The extent of co-morbidity was also significant. Métis with diabetes were almost three times more likely to report hypertension and heart problems and twice as likely to report sight impairments than were those without diabetes. CONCLUSIONS: This research represents the first account of the effects of diabetes on the lives of the Métis. The APS data have provided a clear picture of the impairments in physical functioning experienced by the Métis with diabetes and the impact upon quality of life. In addition, the strong associations between diabetes and hypertension, heart problems and sight impairments suggest profound morbidity in this population that warrants prompt attention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".