The Nordic Council for Arctic Medical Research. History, aims and achievements
Bibliographic record
Abstract
The Organization of Nordic Council for Arctic Medical Research (NCAMR, or NoSAMF in Scandinavian languages) was initiated by the governmental Nordic Council in 1966. The new council was charged with the task of promoting arctic medical research in the Nordic countries. It began its duties in 1969. Originally the council covered Denmark, Finland, Norway and Sweden; Iceland joined as a member in 1977. During the first years the NCAMR held two to three conferences a year, the proceedings of which were communicated in the Nordic Council for Arctic Medical Research Reports series, distributed in about 1500 copies, free of charge. In 1971, 1981, 1987 and 1993, the NCAMR hosted the International Congress on Circumpolar Health and played a pivotal role in the establishment of the International Union for Circumpolar Health (IUCH) in 1986. Thereafter, the activities of the NCAMR developed a much more international character. Accident prevention, cold research, pollution, family health and, in later years, the health of indigenous peoples, became priorities, along with the establishment of international research networks. The NCAMR's report series soon developed into an established international journal under the title Arctic Medical Research. The inter-governmental financial support to the NCAMR was discontinued at the end of 1996. Thereafter, the secretariat operated under the auspices of the University of Oulu. The International Journal for Circumpolar Health, as it was named from 1997, continued to flourish, being published by the IUCH, the Nordic Society for Circumpolar Health and the University of Oulu.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.019 |
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".