Traditional Food Energy Intake among Indigenous Populations in Select High-Income Settler-Colonized Countries: A Systematic Literature Review
Bibliographic record
Abstract
The traditional diets of Indigenous Peoples globally have undergone a major transition due to settler colonialism. This systematic review aims to provide a perspective of traditional food intake of Indigenous populations in high-income settler-colonized countries. For inclusion, studies reported the primary outcome of interest-traditional food contribution to total energy intake (% of energy)-and occurred in Canada, the United States (including Hawaii and Alaska), New Zealand, Australia, and/or Scandinavian countries. Primary outcome data were reported and organized by date of data collection by country. Forty-nine articles published between 1987 and 2019 were identified. Wide variation in contribution of traditional food to energy was reported. A trend for decreasing traditional food energy intake over time was apparent; however, heterogeneity in study populations and dietary assessment methods limited conclusive evaluation of this. This review may inform cross-sectoral policy to protect the sustainable utilization of traditional food for Indigenous Peoples.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".