Cadmium exposure in First Nations communities of the Northwest Territories, Canada: smoking is a greater contributor than consumption of cadmium-accumulating organ meats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it