The use of cryogenic resources by participants of scientific research expeditions to the Arctic regions of Yakutia. The end of the XIX – the first quarter of the XX centuries.
Bibliographic record
Abstract
The subject of the article is an analysis of the experience of taking into account the traditional knowledge of the indigenous peoples of the Russian Arctic and the use by representatives of the research community in the course of their professional activities in high latitudes of cryogenic resources – material objects and forces of nature exploited by society, the origin and development of which is due to the sphere of cold. In this regard, the purpose of this article is to reconstruct the practices of using cryogenic resources in the course of conducting expeditionary research in the Arctic regions of Yakutia during the 1880s – mid-1920s. In this regard, the author's attention is drawn to the history of the Lena (1882–1884) and Russian polar expeditions (1900–1902), the Lena-Kolyma expedition (1909) and some other works performed on the territory of Yakutia. A complex of source material has been attracted, which includes documents from the archival collections of the years, as well as scientific papers published based on the results of the studies. Special methods of historical cognition were used in the analysis of this range of sources. The methodological basis for the development of the topic was the application of the noted principles laid down in cryosophy and anthropology of cold. The conducted research made it possible for the first time to show the practices of exploitation of cryogenic resources by participants of expeditions to the Arctic regions of Yakutia during the period under review. The properties of natural cold, snow, ice and permafrost were found to be used in providing representatives of the scientific community with nutrition (obtaining drinking water, cryogenic effects during cooking, food storage), performing their routes (snow and ice roads, ice bridges, icing of sled runners), as well as in the process of the arrangement of dwellings and pavilions for research (windows made of ice). The data obtained during the research also give some idea of the effectiveness of scientists' adoption of the experience of the indigenous peoples of the Russian Arctic and, in general, the fruitfulness of the dialogue between representatives of the research community and the local population.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".