The costs of local food procurement in a Northern Canadian First Nation community: an affordable strategy to food security?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Northern rural and remote Indigenous Communities in Canada are experiencing disproportionately high rates of diet related diseases, such as type 2 diabetes, largely because of the limited access to nutritious food. Indigenous peoples have experienced a rapid nutrition transition that has led to an over reliance on low quality market-food. In one remote fly-in First Nation in northern Ontario, leadership has looked to land-based food as a way to make healthy foods more readily available in the community. This paper documents what is involved in land-based food procurement in the Wapekeka First Nation, and the costs incurred getting food from the land. This paper argues that despite the considerable economic and physical demands, land-based food procurement is a viable and culturally valuable option to help increase local access to healthy foods.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it