Food as helper, food as healer: How Cree Elders incorporate food into their helping and healing practices and the implications for Indigenous food sovereignty
Bibliographic record
Abstract
Historically and contemporarily, colonial policies and prejudices have deeply affected Indigenous food systems and thus Indigenous bodies. For Cree peoples in Manitoba, these policies include the criminalization of practicing traditional medicines, residential schools and land dispossession in the name of development. However, despite the challenges and interruptions to food and cultural systems, Cree Elders understand food to be sacred, and moreover, a healer. This qualitative study, grounded in Indigenous research methodologies, sought to investigate the role of food in Cree culture, through understanding how Elders incorporate food into their helping and healing practices. Using metaphor to make meaning of the Elder stories, this research articulates the role of food in Cree culture: through feeding oneself, one’s ancestors, and one’s community. The Elders revealed the rich depth of Cree food knowledges that underlie Cree culture, from star stories, language, and grieving ceremonies to knowledge of plant and food medicines. This dissertation is an exploration of Cree guidance for revitalizing and rebuilding Cree food systems as part of a larger Indigenous food sovereignty framework.
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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 | 0.003 | 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 | 0.011 | 0.016 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| 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".