Supporting Inuit food security: A synthesis of initiatives in the Inuvialuit Settlement Region, Northwest Territories
Why this work is in the frame
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Bibliographic record
Abstract
Food insecurity among Indigenous Peoples of northern Canada is a significant public health issue that is exacerbated by changing social and environmental conditions. While a patchwork of programs, strategies and polices exist, the extent to which they address all “pillars” of food security (food availability, access, quality, and utilization) remains under-assessed. We respond to this gap by providing a framework for synthesizing and assessing information about food security initiatives, using a case study of the Inuvialuit Settlement Region (ISR), the westernmost Inuit region of Canada. Our objectives are: (1) to identify existing initiatives in the ISR; (2) to assess the breadth and diversity of these initiatives in addressing the four key food security “pillars”; and (3) to present an analytical framework that will facilitate ongoing data updating and sharing in the ISR and elsewhere. Through a scoping review and direct consultation with 12 key informants, we identified 30 initiatives that support food security in the ISR. These are funded and implemented at a range of national, territorial, regional, and local levels, and include both governmental and non-governmental programs, strategic frameworks, and research and monitoring initiatives. Seven key themes emerged from the cross-scale analysis of these initiatives, including: orientation with respect to food security pillars, scope and scale, demographic targeting, funding, monitoring and evaluation, and implications for food security strategies. While our framework provides a useful tool for data synthesis and analysis, its outputs can help in identifying gaps and opportunities for both resource allocation and program and policy development for under-served communities. Significantly, this study highlights the importance of engaging local perspectives in the development of coordinated approaches to address Inuit food insecurity.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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