Sociological Analysis of the Commercial Hunting on the Lands of Small-Numbered Indigenous Peoples of the North in the Arctic Zone of the Sakha Republic Republic (Yakutia)
Bibliographic record
Abstract
The article presents the results of the analysis of commercial hunting of the most typical communities of small indigenous peoples of the North of Russia living in the Arctic zone of Yakutia, for which hunting largely determines the life quality. For the analysis, statistical data and internal hunting materials were used with the participation of the article authors. In preparing this article, we used statistical data and materials from the Yakutia Department of Hunting Management, as well as stock materials from the Institute. We used statistical methods to process the materials. For the first time, the materials of the intra-economic hunting arrangement conducted in the areas assigned to small peoples are analyzed. For the first time, the article provides data on the history of establishing hunting grounds in Yakutia as part of all-Russian activities. The article provides the results of foreign researchers' studies dedicated to the issue of framing and maintaining the traditional lifestyle of indigenous peoples of the North. Based on the analysis of the structure of commercial production, it is demonstrated that hunting trends are adapted to the extreme weather and climatic conditions of the Arctic and defined by the wildlife species that inhabit these regions. Backed by retrospective analyses, considerable changes in the structure of commercial production are illustrated. These are linked to the decrease in numbers of one of the populations of wild reindeer and the decreasing demand for natural fur, factors that have reduced the importance of traditional hunting in the lives of the region’s ethnic groups. It is revealed that the forecast of large-scale development of mineral resources in the Arctic regions of Yakutia demands that preventive measures be taken to protect natural resources that are the foundation for the traditional crafts of the indigenous peoples of the North.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".