Cultural factors related to the maintenance of health behaviours in Algonquin women with a history of gestational diabetes
Bibliographic record
Abstract
INTRODUCTION: Though the cultural factors that may contribute to the diabetes epidemic in First Nations are frequently discussed, little is known about the factors that may help prevent it. In this ethnonursing study, we explore the cultural factors that help maintain health behaviours in Algonquin women who had received a diagnosis of gestational diabetes 2 to 10 years before this study. METHODS: The data were collected in two Algonquin communities through semi-structured interviews with key informants (n = 7) and general informants (n = 8) and through cultural immersion, with detailed observations being recorded into logbooks. RESULTS: The cultural factors that are likely to affect the prevention of diabetes are the importance of family and social ties, the possibility of preserving cultural values, the opportunity to learn behaviours through educational resources adapted to needs and culture, the chance of saving money through better diet and access to blood sugar data as a means of control. CONCLUSION: In the long term, these cultural factors could influence health behaviours and thus help prevent type 2 diabetes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".