Game bird consumption in Dene communities of the Northwest Territories, Canada
Bibliographic record
Abstract
OBJECTIVE: Game bird consumption is an important part of the diet of Indigenous populations in Canada and, as part of country food consumption, is associated with improved nutritional status. The objective of this project was to document the consumption of game birds for Dene First Nations in the Northwest Territories (NWT), Canada. DESIGN: Participants were invited to complete a FFQ using an iPad to document the types of country foods consumed, as well as consumption frequency and preparation methods, including thirteen types of game birds. SETTING: The project was implemented in nine communities in the Dehcho and Sahtú regions of the NWT, Canada. PARTICIPANTS: A total of 237 children and adult participants from Dene First Nations in the Mackenzie Valley region of the NWT took part in the current study. RESULTS: FFQ findings indicated that game birds were frequently consumed in both Dehcho and Sahtú communities. Canada goose and mallard were found to be consumed by the largest number of participants. Five different species (including Canada goose and mallard) were found to be consumed by at least 25 % of participants over the last year. When consuming game birds, most participants reported consuming the meat as well as most, if not all, other parts of the bird. CONCLUSIONS: Differences were observed since the last country food assessment in the 1990s in the same regions. These findings increase knowledge of the current Dene diet patterns and support the understanding of diet transition.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".