Community Champions for Safe, Sustainable, Traditional Food Systems
Bibliographic record
Abstract
Access to traditional Indigenous foods is a priority to improve food security and recognize the role of food in sustaining cultural and social connections. First Nations Health Authority (FNHA) is Canada's first province-wide, Indigenous-led health authority and delivers services in a community-driven manner. FNHA collaborated with First Nations to implement a Community Champion model, whereby each Nation could identify an individual who worked in food programming to attend a train-the-trainer workshop on safe food preservation methods. The Champions then took this knowledge, along with provided resources, to lead canning workshops in their home communities. Throughout the first year, a community of practice was nurtured, and a gathering of this community was held at the end of the first year. Nations were able to meet food safety considerations through interactive learning, and access to traditional Indigenous foods was strengthened. The Community Champion model supports capacity building and creates a community of practice.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".