Examining local food procurement, adaptive capacity and resilience to environmental change in Fort Providence, Northwest Territories
Bibliographic record
Abstract
Rural Indigenous communities across northern Canada are experiencing high rates of food insecurity as a result of interconnected socio-cultural, economic and environmental challenges. The loss of traditional ecological knowledge, high costs of market foods and lack of infrastructural capacity are creating multifaceted barriers for isolated, northern communities. Climate change is impacting the ability of northern Indigenous communities to acquire, access and utilize food that is culturally relevant and sustainable. This research explores local food procurement activities in the community of Fort Providence, Northwest Territories. The objective of this research was to consult with key community members to understand the detrimental effects of climate change on land-based food procurement, but also to understand the complex socio-cultural, economic and environmental challenges related to food security. This study utilizes Indigenous Methodologies to guide all aspects of the research. Evidence was collected using semi-structured interviews with Elders, land-users, and knowledgeable community members. The benefits and difficulties of engaging in land-based and alternative food procurement were key topics explored. Strategies to manage food insecurity, to promote local food procurement and to create a clear picture of community perspectives in addressing constraints to adaptation, were also considered. The results inform policies that reflect the needs of local residents, address the distinct socio-cultural and economic barriers to procure local food and support overall community resilience and adaptive capacities to environmental changes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".