HUMAN HEALTH IN CONNECTION WITH ARCTIC POLLUTION - RESULTS AND PERSPECTIVES OF INTERNATIONAL STUDIES UNDER THE AEGIS OF AMAP
Bibliographic record
Abstract
Generalization of the results of environmental hygienic studies of pollution by persistent toxic substances (PTS) of Arctic environment, levels and dynamics of exposure to PTS and PTS health effects for residents of Arctic countries (Canada, Denmark/Greenland/Faroe Islands, USA, Iceland, Finland, Sweden, Norway and Russia) within the framework of the recently published "Human Health in the Arctic - 2015" Report of the international Arctic Monitoring and Assessment Program (AMAP) have been conducted. The chronology of the previous AMAP reports on Arctic Pollution and Human Health 1998-2009 is presented; the algorithm of the introduction and development of international system for evaluation of quality assessment / quality control of laboratory measurements (AMAP ring-test) is described, along with the completed and ongoing studies in circumpolar countries (projects, cohorts, objects, scopes, dates), levels of PTS in the blood of the surveyed contingents with the geographical comparisons between the circumpolar and non-Arctic countries, incl. long-term dynamics. Adverse health effects associated with exposure to PTS of Arctic residents: neurobehavioral, immunological, cardiovascular, reproductive, endocrine, diabetogenic, carcinogenic - are analyzed; genetic/epigenetic aspects and effect modifiers are briefly considered. Short recommendations for future scientific research and management decisions in the Arctic are formulated, including the need to continue the biomonitoring of PTS (biota and human biological media), the need to develop adaptation strategies and adequate approaches to risk communication, application of the precautionary principle for "new" POPs, taking into consideration the global and regional consequences of climate change and the emergence on this background of the additional health risks for Arctic residents.
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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 | 0.012 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".