Strengthening Sustainable Northern Food Systems: Federal Policy Constraints and Potential Opportunities
Bibliographic record
Abstract
This paper explores how Canadian federal policy and frameworks can better support community-based initiatives to reduce food insecurity and build sustainable food systems in the North. Through an examination of the current state of food systems infrastructure, transportation, harvest, and production in the Yukon, Northwest Territories, Nunavut, Nunavik, and Nunatsiavut, we argue in favour of a multi-sector approach that supports diversified food systems, including traditional/country food production and distribution, in a way that values and prioritizes community-led initiatives and Indigenous peoples’ self-determination and self-governance. The challenge of developing sustainable, northern food systems requires made-in-the-North solutions that are attuned to cultural, geographic, environmental, and political contexts. Recent policy developments suggest some progress in this direction, however much more work is needed. Ultimately, sustainable northern food systems must be defined by and for Northerners at community, local, and regional levels, with particular attention paid to treaty rights and the right to self-determination of First Nations and other Indigenous communities.
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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 | 0.018 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".