An eagle's view: perspectives about diabetes in Yekooche First Nation, a first nation's community in northern British Columbia
Bibliographic record
Abstract
A substantial amount of quantitative literature documents the prevalence and incidents rates and causes of diabetes among First Nations, but few qualitative literature documents exist exploring First Nations perceptions about diabetes and its causes. This study utilized the Two-Eyed Seeing framework to explore Yekooche member’s perceptions about diabetes. The research objectives of the research were: 1) to understand how Yekooche members define diabetes; 2) to explore Yekooche perceptions of diabetes; and, 3) to examine their beliefs and understanding of diabetes education and diabetes educational materials. This qualitative research addressed these objectives through interviews conducted with Yekooche First Nation. Analysis of the interviews generated findings which are presented in story form, providing insights into how participants understand the causes about diabetes, their experience with diabetes related complications, their fears and concerns of children developing diabetes, and the unexpected finding of their experiences with the effects of clear-cutting on their health.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".