Honouring the grandmothers through (re)membering, (re)learning, and (re)vitalizing Métis traditional foods and protocols
Bibliographic record
Abstract
In Canada, Métis cultural restoration continues to advance. Food practices and protocols, from the vantage point of Métis women who were traditionally responsible for domestic work, qualify as important subjects worthy of study because food and food work are integral components of family health and well-being. This qualitative grounded theory study explored Métis cultural food in Manitoba, Canada, with the intent to honour Métis women. In-depth interviews were conducted with Métis residents of urban Winnipeg and southern rural Manitoba. Results indicate that women were traditionally the keepers of culinary knowledge and practices in Métis families, and were highly resourceful in feeding large families and often other community members. Traditional foods were often land-based (wild and cultivated) and frequently enhanced with market foods. There is a strong sense of history, pride, identity, and desire for revitalization through cultural activities such as food practices; however, disrupted cultural knowledge translation around food and the nutrition transition to unhealthy Western diets present challenges. Results of this research will provide Manitoba Métis people with opportunities for critical reflection on food and their identity as Métis; food origins; the role of food in our lives; and how ecological and political structures affect the production and consumption of food. In addition, this research will provide an alternative discourse as it relates to Métis food, supporting a holistic approach to overall health and well-being that is self-affirming and strength-based.
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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 | 0.018 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.029 | 0.030 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".