An examination of stress among Aboriginal women and men with diabetes in Manitoba, Canada
Bibliographic record
Abstract
In this study, a series of focus groups were conducted to gain an understanding of the nature of stress among Canadian Aboriginal women and men living with diabetes. Specifically, attention was given to the meanings Aboriginal peoples with diabetes attach to their lived experiences of stress, and the major sources or causes of stress in their lives. The key common themes identified are concerned not only with health-related issues (i.e. physical stress of managing diabetes, psychological stress of managing diabetes, fears about the future, suffering the complications of diabetes, and financial aspects of living with diabetes), but also with marginal economic conditions (e.g. poverty, unemployment); trauma and violence (e.g. abuse, murder, suicide, missing children, bereavement); and cultural, historical, and political aspects linked to the identity of being Aboriginal (e.g. 'deep-rooted racism', identity problems). These themes are, in fact, acknowledged not as mutually exclusive, but as intertwined. Furthermore, the findings suggest that it is important to give attention to diversity in the Aboriginal population. Specifically, Métis-specific stressors, as well as female-specific stressors, were identified. An understanding of stress experienced by Aboriginal women and men with diabetes has important implications for policy and programme planning to help eliminate or reduce at-risk stress factors, prevent stress-related illnesses, and enhance their health and life quality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".