Reclaiming food security in the Mohawk community of Kahnawà:ke through Haudenosaunee responsibilities
Bibliographic record
Abstract
Indigenous Peoples are reclaiming their food security, nutrition, and well-being by revitalizing food systems, livelihoods, knowledge-systems, and governance. Our food security research is guided by sustainable self-determination that focuses on restoring Indigenous cultural responsibilities and relationships to land, each other, and the natural world (Corntassel, 2008). Our Kanien'kehá:ka (Mohawk) research team from Kahnawà:ke, in Quebec, Canada, examines food insecurity experiences in our community to explore ways of upholding our Haudenosaunee responsibilities and enhancing local food security. We collaboratively designed the study and interviewed Kahnawakehró:non (people from the Kahnawake community) with traditional knowledge, extensive community experience, and interests in food and culture. Interviews were audio-recorded, transcribed, and analysed by the team. Analysis characterized food insecurity experiences and conditions that challenge and enable food security with attention to traditional food systems, relationships to land, and gender-related responsibilities. Findings show that communal responsibilities generate resilient strategies that provide for all in times of crisis, and long-term food insecurity is managed through social programs, organized charities, and family support. Enhancing food security involves healing and protecting a limited land-base for food production, integrating food production with community priorities for education, training, health, economic development, and scientific innovation. Nurturing spiritual connections with tionhnhéhkwen (life sustaining foods), the natural world, and each other calls for accelerated teaching and practicing our original instructions. Challenges in developing food security leadership, balancing capitalism and subsistence economies, and strengthening social relationships are rooted in the historical colonial and current settler-colonial context that disrupts all aspects of Kanien'kehá:ka society.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".