Historical and Sociological Analysis of the Value World of the Cultural Policy of the Siberian Tatars (The Case Study of the Russian Archive Documents of the 18th – 19th Centuries)
Bibliographic record
Abstract
The nature of the cultural policy of the Siberian Tatars and its connection with the value world is described for the first time. This material singles out and describes three levels in the development of the anthroponymys value world in the national cultural policy (ancient, middle-aged, and new Turkic). The authors used comparative methods (investigation of archives) and empirical methods, namely, the generalization of the great human experience, which is formed at the levels of cultural policy forming (ancient, middle-aged, and new Turkic). According to the level of religiousness of the ancient Turks, the system of ideas, which is reflected in the needs and desires due to naive mental activity, the authors singled out the ancient model of constructing their cultural policy or the first ancient level of values in the cultural policy of the Siberian Tatars. The anthroponyms system of the Siberian Tatars is an axiological worldview observing objective and subjective evaluative attitudes. The subject in the cultural policy becomes familiar with the value world of name-giving, the system of ideas or ideology appears, which is transformed into a certain stage of development. Cultural policy in the ancient period was created but it is changed in the modern world. The novelty of the study is in the fact that the object category was studied in the cultural policy of Siberian Tatars indefinitely. Our investigation showed interrelation between human being and his experience (object and subject). Our motivation to study the value world of the cultural policy of the Siberian Tatars is supported by the idea that harmony and peace between cultures is possible only in the way of value world and its priorities understanding. New research results complement theoretical generalizations, open up new conceptual opportunities in solving national problems, and make it possible to formulate new strategic goals in our multinational state. They can improve the implementation of cultural policy by social society in goal setting and identification of national cultural values and priorities in the creation on their basis of targeted programs and expenses.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".