Jeunes, Environnement Et Santé / Youth, Environment and Health (JES!-YEH!) Pilot Project in Four First Nation Communities in Quebec: Exposure Emerging Chemicals, Dietary Profiles and Health-Related Challenges
Bibliographic record
Abstract
The pilot project Jeunes, Environnement et Santé / Youth, Environment and Health (JES!-YEH!) was conducted in 2015 among children and youth (3-19y, n=198) in collaboration with four First Nation communities in Quebec. Main findings show very low exposure to traditional foods related contaminants (metals and older persistent organic contaminants). However, in some communities, elevated exposure to perfluorononanoic acid (PFNA), bisphenol A, diethylphosphate, monobenzylphtalate and 2,5-dichlorophenol, at higher levels than in the Canadian Health Measure Survey for the same age groups, was found. Food insecurity and overcrowding was important in some communities. Overall, ultra-processed foods and sweet beverages were frequently consumed, and a high prevalence of iron deficiency, anemia, elevated blood manganese and obesity was found. These findings underscore the importance of better understanding the determinants of healthy eating environments in indigenous communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".