Strengthening Community through a Traditional Haudenosaunee Diet
Bibliographic record
Abstract
The Haudenosaunee Peoples of Eastern North America share a strong pastoral tradition and culture associated with maize agriculture. Traditional dietary practices were severely disrupted by colonial practices, and over time this has led to increased burdens of chronic diseases such as type 2 diabetes and obesity. To lead meaningful Traditional dietary practices, Haudenosaunee community members mobilized to develop and promote a 90-day challenge called ‘Healthy Roots.’ The Healthy Roots Program prioritizes Traditional Haudenosaunee foods found in territories during pre-contact times. The community decided to officially evaluate the impact of the dietary program using a pilot pre–post evaluation study (International Journal of Indigenous Health, 2021). We created the following digital story to capture the experiences and perspectives of the first cohort of community members to enroll in the Six Nations Healthy Roots Research Study. The film team attended six community meetings between February 2017 and October 2017 to capture the stories of participants before, during, and after the completion of the Healthy Roots Program. *Private Media Link for Video: https://bit.ly/3EJnsJO
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".