Rebuilding food security in Garden Hill First Nation Community: Local food production in a northern remote community
Bibliographic record
Abstract
Garden Hill is a remote fly-in First Nation community in Northern Manitoba with a very high incidence of food insecurity. This study examined food security and food sovereignty of the Garden Hill community by reinvigorating an environmental stewardship-driven food system. This research used community-based participatory research approach, and both qualitative and quantitative research tools to generate data and information. Findings reveal that only 3% households are food secure, 66% households are moderately food insecure, and 31% households are severely food insecure. Once self-sufficient with foods gathered from the local, natural foodshed, the community experienced a radical shift in food habits with a greater dependency on processed market foods. Such transformation in food habit and dietary balance, coupled with limited economic opportunities, made the inhabitants increasingly food insecure and vulnerable to multiple health complications. This research demonstrated the community has potentials for local food production. A pilot agricultural farm collaboratively established with a local social enterprise Meechim Inc. grew local food to help address the food insecurity situation.
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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 | 0.001 | 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 | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".