Legitimizing diabetes as a community health issue: a case analysis of an Aboriginal community in Canada
Bibliographic record
Abstract
The Kahnawake Schools Diabetes Prevention Project (KSDPP) is an ongoing participatory research and intervention project aimed at the primary prevention of type 2 diabetes. Formally initiated in 1994 with strong community support, KSDPP provides a fertile opportunity to learn about how a community came to identify the need for preventive action on a health problem such as diabetes. The purpose of our study was to describe the various conditions in the community of Kahnawake, which gave rise to its mobilization for the prevention of type 2 diabetes. Qualitative data consisted of 12 individual interviews and one focus group with key community members and health professionals living and/or working in the community of Kahnawake, along with historically relevant documents. The data collection and analysis procedures of the grounded theory method were applied. Results describe a preceding phase to formal KSDPP implementation, triggered by returning research results on the community prevalence of type 2 diabetes. This phase of 'legitimizing diabetes as a community health issue' is characterized by a shift in the perceived preventability of diabetes among community members; from a problem that was to be lived with to a problem that was to be prevented. The shift in perceptions was facilitated by the context in the community, described by structural developments, cognitive and relational elements. In addition to reaffirming the critical importance of utilizing lay knowledge during the planning of a health promotion intervention, our study has uncovered some of the key conditions through which individuals in the community came to participate in the identification and planning of a diabetes prevention project.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.039 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".