Community-based health research led by the Vuntut Gwitchin First Nation
Bibliographic record
Abstract
OBJECTIVES: This paper documents an exceptional research partnership developed between the Vuntut Gwitchin Government (VGG) in Old Crow, Yukon, with a group of scientists to examine northern food security and health as part of a larger, multidisciplinary International Polar Year (IPY) research program. We focus on the elements that enabled a successful community-researcher relationship. Study design. The VGG led the development of the research and acted as Principal Investigator on the IPY grant. The multidisciplinary collaboration spanned the physical, biological and health sciences, including issues related to food security. METHODS: The food security and health component of this research was carried out using a series of complementary methods, including focus groups, structured interviews, a household questionnaire, an interactive workshop, community meetings, transcript analysis and a caribou flesh exposure assessment. RESULTS: Results from the food security component are informing local and regional adaptation planning. The legacy of the research collaboration includes a number of results-based outputs for a range of stakeholders, a community-based environmental monitoring program, long-term research relationships and improved community capacity. CONCLUSIONS: The type of collaboration described here provides a useful model for new types of participatory health research with northern communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".