Factors associated with the intake of traditional foods in the<i>Eeyou Istchee</i>(Cree) of northern Quebec include age, speaking the Cree language and food sovereignty indicators
Bibliographic record
Abstract
The Eeyouch are a First Nations (Cree) population that live above 49.6°N latitude in Eeyou Istchee in northern Quebec. Eeyouch rely on traditional foods (TF) hunted, fished or gathered from the land. The overarching aim of this study was to achieve an understanding of the factors associated with TF intake among Eeyouch. Data were from 465 women and 330 men who participated in the Nituuchischaayihtitaau Aschii Multi-Community Environment-and-Health (E&H) study. The relationship between TF consumption and dietary, health, sociodemographic and food sovereignty (i.e. being a hunter or receiving Income Security to hunt, trap or fish) variables was examined using linear and logistic regression. Analyses were stratified by sex because of the male/female discrepancy in being a hunter. Among respondents, almost all (99.7%) consumed TF, 51% were hunters and 10% received Income Security. Higher intake of TF was associated with lower consumption of less nutritious ultra-processed products (UPP). In women, TF intake increased with age, hunting and receiving Income Security, but decreased with high school education. In men, TF intake increased with age and speaking only Cree at home. The findings suggest that increased food sovereignty would result in improved diet quality among Eeyouch through increased TF intake and decreased UPP intake.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".