Frequency of consumption of foods and beverages by Inuvialuit adults in Northwest Territories, Arctic Canada
Bibliographic record
Abstract
Limited data exist regarding nutrient intakes and overall dietary quality in Canadian Arctic populations. This cross-sectional study determined the frequency of consumption of traditional meats (e.g. caribou, polar bear, seal, char and whale) and non-traditional store-bought foods including non-traditional meats (e.g. beef, pork and chicken), grains, dairy, fruits, vegetables and non-nutrient dense foods (NNDFs) (e.g. butter, chocolate, chips, candy and pop) by Inuvialuit adults (175 women, mean age 44 ± 14 years; 55 men, mean age 41 ± 13 years) in three remote communities in the Northwest Territories. Using a validated quantitative food frequency questionnaire, frequency of consumption over a 30-day period was determined for 141 commonly reported foods. Mean consumption of traditional meats (1.6 times/day), fruits (1 time/day) and vegetables (0.6 times/day) was less frequent than that of NNDFs (5.0 times/day). Nutritional intervention strategies are needed to promote more frequent consumption of nutrient-rich foods and less frequent consumption of NNDFs in these Arctic communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".