Yakutia and International Scientific Cooperation on Arctic Studies. The End of 20th – Beginning of 21st Century
Bibliographic record
Abstract
The article deals with the issues of participation of Yakutia in the international scientific cooperation in the Arctic during the last decade of the 20th and the first years of the 21st century.The author describes the history of realization of the international initiatives for studying social and cultural transformations and challenges of life of Arctic Indigenous Peoples, studying natural phenomena and processes, as well as environmental protection in the Yakutia's Arctic and their main results on the basis of a set of archival documents, English-and Frenchlanguage materials.The author called the most important factors that determine the extent of joint research of Russian scientists and their foreign colleagues, identified the key participants (scientists from Great Britain, Germany, Canada, Russia, Finland, France and Japan), forms (collection of field data, its processing and laboratory analysis; provision of academic institutions of Yakutia, their research base, provision of special equipment for foreign partners; coordination of research and the exchange of the data obtained; organization of conferences and workshops; organization of protected areas; publication of research results), and mechanisms (organization of special structures to intensify and coordinate research; association of research through a unified methodology; elaboration of international programs and projects, taking into account the potential of the involved partiesfinancing, tools and staff) of international scientific cooperation development.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".