Community Perspectives on Inuit Country Food Insecurity in Gjoa Haven, Nunavut
Bibliographic record
Abstract
This paper explores how policies and programs can better support country food security and food sovereignty in Gjoa Haven, Nunavut. Through a series of six focus groups with a total of 74 participants, we explore the challenges that Elders, youth, hunters, food preparers, and program providers face in the access, availability, quality, and use of country food. Despite the diverse representation among focus groups, participants revealed similar challenges across demographics and highlighted how tailored policies and programs can provide complementary solutions that serve more than one purpose. We argue that policies and programs targeting financial and economic challenges; resources and infrastructure; and skills and knowledge will improve country food security and will promote food sovereignty. Ultimately, policies and programs must be community informed and tailored to their current context and community dynamics. However, the recommendations we provide could be adapted to other Arctic communities experiencing similar challenges.
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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 | 0.001 | 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 | 0.003 | 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 | 0.001 |
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".