Cadmium exposure in First Nations communities of the Northwest Territories, Canada: smoking is a greater contributor than consumption of cadmium-accumulating organ meats
Bibliographic record
Abstract
Traditional food consumption among northern populations is associated with improved nutrition but occasionally can also increase contaminant exposure. High levels of cadmium in the organs of moose from certain regions of the Northwest Territories, Canada, led to the release of consumption notices. These notices recommended that individuals limit their consumption of kidney and liver from moose harvested from the Southern Mackenzie Mountain. A human biomonitoring project was designed to better characterize exposure and risks from contaminants, including cadmium, among Dene/Métis communities of the Northwest Territories Mackenzie Valley, Canada. The project included a dietary assessment (food frequency questionnaire) to estimate moose and caribou organ (kidney and liver) consumption, as well as urine and blood sampling for the measurement of cadmium concentration using mass spectrometry. For a subset of the samples, urine cotinine was also quantified. The results from this biomonitoring research show that cadmium levels in urine (GM = 0.32 μg L-1) and blood (GM = 0.58 μg L-1) are similar to those observed in other populations in Canada. For the 38% of participants reporting eating game organs, current traditional food consumption patterns were not associated with cadmium biomarker levels. Instead, smoking appeared to be the main determinant of cadmium exposure. These results are supporting ongoing efforts at the community and territorial level to identify health priorities and design follow up plans in response to environmental monitoring data.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".