Braiding Food Systems: Co-Constructing Indigenous Seed Systems in Northern Ontario for Food Sovereignty, Security and Climate Adaptation
Bibliographic record
Abstract
Indigenous communities in the Northern Great Lakes Region of Ontario have diverse food systems with distinct practices and knowledge connected to the land. Traditional food systems in this region are often reduced to hunting, fishing, and gathering activities, but they have also involved planting, growing, maintaining, and harvesting for thousands of years. Climate change and mutually reinforcing processes of settler colonialism, systemic marginalization, and land dispossession limit the capacity and presence of food growing in Northern Ontario First Nations and impact access to and availability of traditional foods, presenting a major barrier to addressing food insecurity. Responding to calls from Indigenous leaders to support food growing strategies that complement existing food systems, the Braiding Food Systems (BFS) project is a three year collaboration between Red Rock Indian Band, Netmizaaggamig Nishnaabeg, Biinjitiwaabik Zaaging Anishinaabek, Mamaweswen - The North Shore Tribal Council, and the Ontario Agri-Food Innovation Alliance. The project collaborates with First Nations to co-develop and re-localize seed systems in Northern Ontario and to enhance food security and food sovereignty. This presentation will highlight the research and knowledge mobilization activities, progress, and outcomes from year two of the BFS project. We will outline how we continue to build trust and relationships with partners, and reflect on what we have learned in gardening - Citizen Science, engagement with community schools and research activities. We will also overview our collaborative knowledge mobilization process and recent activities and outputs: community profiles, food fairs, garden knowledge sharing, toolkits, infographics, and curriculum development. We will conclude with considerations for year three and share opportunities and key takeaways to strengthen future community engaged research with Indigenous communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".