Tackling food security issues in indigenous communities in Canada: The Manitoba experience
Bibliographic record
Abstract
Abstract Aims: The promotion of healthy living and chronic disease prevention are predicated on the ability of individuals and communities to make healthy choices. Having access to nutritious affordable food is one of the conditions required to make such choices possible but one that is too often not available, especially to families in remote regions of Canada. The present paper reviews food security issues as they pertain to indigenous communities, particularly in northern Manitoba, and describes community and government approaches to tackling food insecurity. Method: A narrative review was formed drawing on international literature and Canadian research and practice. Results: Strategies such as those described above have the potential to significantly enhance access to affordable, nutritious food in Northern Communities thereby improving food security, healthy living and preventing chronic disease. Conclusions: Community‐based action combined with structural changes and a supportive policy environment hold out the prospect of changing the conditions of food access that underlie the ultimate success of healthy living and chronic disease prevention efforts. While there appears to be a growing interest in local food production and the reintroduction of traditional foods to the diet, an important key to successful change is the engagement of youth, whose food habits and preferences have been heavily influenced by mainstream commercial food culture.
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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 | 0.003 |
| Science and technology studies | 0.028 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".