Decolonizing Diet: Healing by Reclaiming Traditional Indigenous Foodways
Bibliographic record
Abstract
Traditional Indigenous foodways remain important for the ongoing health and well being of contemporary Indigenous North American peoples. Drawing partly on primary research on food-related knowledge and experience within the First Nations community of Toronto, the authors trace how colonial policies of assimilation attempted to destroy Indigenous knowledge and in so doing spawned numerous trans-generational health consequences for Indigenous populations, which are still felt today. While colonial attempts at assimilation seriously undermined the integrity of traditional Indigenous foodways, today this cultural knowledge is undergoing a resurgence. Contemporary Indigenous peoples have expanded upon oral traditions with written stories of food gathering and recipes as a means to revitalize food knowledge, cultural integrity and community -- all inextricably linked to health. As such, the authors argue that fostering the resurgence of traditional Indigenous knowledge about food is a necessary in healing the trauma emerging from colonialism. Indigenous cookbooks provide opportunities to share information about traditional culture and food knowledge along with the recipes more conventionally associated with cookbooks.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".