Специфика экспозиции к дихлородифенилтрихлорэтану коренных жителей прибрежной и материковой Чукотки
Bibliographic record
Abstract
In the indigenous dwellers of coastal Chukotka, blood DDT levels are 1.5-2 times higher than those of continental areas, which is due to the higher global DDT pollution of a sea food chain. The blood levels of 4,4-DDE in the reproductive-age women of coastal Chukotka are comparable to those in other Russian Arctic regions, slightly lower than in Greenland, but essentially higher than in Canada, Alaska and Scandinavian countries. Blood DDE/DDT ratio in the coastal indigenous dwellers is almost twice higher than that in the inland inhabitants, which is indicative of the older exposure of coastal people to DDT. There was an about equal (70-75%) decrease in 4,4-DDE and 4,4-DDT levels with a practically invariable ratio (12-15) and a nearly equal elimination half-life period (about 3.5 years) in the mothers of coastal Chukotka 5 years after the first examination. The elevated 4,4-DDE/4,4-DDT ratios in the tissues of sea mammals generally correspond to higher isomer ratios in the blood of coastal natives and relatively low 4,4-DDE/4,4-DDT ratios in the venison, fowl, and fish predetermine lower ratios in the blood of inland inhabitants. The extremely low of DDE/DDT ratio (0.4) in the washouts and scrapes from the kitchen walls of dwellings are conclusively associated with the recent application of DDT as a household insecticide.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.010 |
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".