Determinants of POPs exposure in Greenland Inuit
Bibliographic record
Abstract
Determinants of POPs exposure in Greenland Inuit PETER BJERREGAARD, DEWAILLY ERIC, AYOTTE PIERRE, PARS TINE, FERRON LILIANE, MULVAD GERT. National Institute of Public Health, Denmark. EMail: [email protected] The purpose of the study was to assess the exposure for organochlorines in relation to age, sex, and diet in a general population sample of Inuit from Greenland. Survey data and plasma concentrations of 14 polychlorinated biphenyl (PCB) congeners and 16 pesticides, including 5 toxaphene congeners, were recorded in a random population survey of 408 adult indigenous Greenlanders. The geometric mean plasma concentration of the sum of PCB congeners was 12.5 mg/l. Expressed as Aroclor 1260, the PCB concentration was twice as high as among the Inuit of Nunavik, Canada, and 25 times higher than in western societies. Concentrations were similarly elevated for all PCB congeners and pesticides. Concentrations showed statistically significant positive associations with age, marine diet, and male sex in multiple linear regression analyses. Concentrations adjusted for sex and the consumption of marine food increased until appr. 50 years of age equivalent to the birth cohorts of the 1940s, after which they remained constant. This indicates that bioaccumulation started in the 1940s, which is a likely date for the introduction of the compounds into the Arctic environment.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".