About Modern Factors of Yakut Identity at the Turn of the XX–XXI Centuries
Bibliographic record
Abstract
In the conditions of the historically established ethnic diversity in the Republic of Sakha (Yakutia), the complex development of market relations and the strengthening of the role of the ethnic factor, the problems of ethno-social adaptation of the indigenous population arises. The purpose of the article is to study the structure of a person's self-identification and to research various forms of identity such as ethno-cultural, linguistic and ethnic. One of the main sources for studying the problems of ethnicity was both various statistical materials, data from an ethno-sociological survey, and field ethnographic materials obtained by the author of the article in the course of expeditionary and stationary work in the uluses of the republic over the last quarter of the XX century – the beginning of the XXI century. When writing the work, the author applied both methods of field research in order to collect initial material, as well as theoretical and methodological ones. The article concludes that if there is a problem with the functioning of the Yakut language and its loss by a part of the urban Yakut population, it does not lead to the loss of Yakut identity. On the contrary, partly the loss of their native language by people of Yakut nationality, as it turned out, leads to the strengthening of their ethno-cultural identity. The dynamic of the number of Yakuts shows that the ethnic factor plays an important role in the identification of a person. The results of the work confirm the thesis that ethnicity, compensating for the weakening of civic identity, becomes a defining stratifying category, acquiring the ethnopolitical rank. In general, despite the influence of various factors, the materials of ethno-sociological studies in Yakutia showed a high degree of manifestation of both ethnic and ethno-cultural identity, and partly linguistic.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".