The Issues and Tendencies of Arts Education Modernization in the Republic of Kazakhstan
Bibliographic record
Abstract
The paper is concerned with development strategy of the national educational system in the Republic of Kazakhstan, principal development trends of arts education in the Republic of Kazakhstan in terms of apprehension of the national tradition based on UNESCO recommendations stated in “Road Map for Arts Education”, adopting the idea of ethnocultural education; the basic content of the “Art education in the Republic of Kazakhstan: apprehension of national traditions and rapprochement of cultures” scientific and analytical report is analyzed; national policy in the area of art education in Kazakhstan, cultural heritage preservation and development are considered; training of Bachelors of Fine Arts in the area of education is represented; modern benchmarks in “Art History of Kazakhstan”, formation of multicultural personality are shown; modernization problems of arts education in Kazakhstan and its study prospects are stated: promotion of creative potential, increase in education and culture status in the 21th century is a complicated and critical task that forecasts the following prospects: interrelation of arts education and current social problems of society; increase in public information awareness and explanation of value and social significance of arts and artistic and pedagogic education; creation of demand for arts education and qualified arts teachers in the modern educational system; universalization of arts teachers’ professional training; intensification and expansion of researches in the area of arts education and sharing creative knowledge at the international level; financing fiscal studies in this area. Conclusions: so far considerable experience has been gained in the area of arts education with regard to ethnocultural tradition, that allows the Kazakh system of arts education to gradually carry out the process of entering world educational space.
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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 | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".