Folklore and Mythological Motives in the Works of Ch. Aitmatov
Bibliographic record
Abstract
The purpose of this article is to analyze and evaluate the place of folklore and mythological motifs in the heritage of Chingiz Aitmatov, to reveal the connection between folklore and national character. The work of Ch. Aitmatov and folk culture are closely interconnected. This multilevel context, in our opinion, is as follows: 1) appeal to the folk culture at the level of folklore and mythological motives; 2) appeal to fundamental universal values - conscience, honor, goodness, love, self-sacrifice, procreation, a succession of generations; 3) reconstruction of the ethnic codes of folk culture, mythologies, historical chronotope, nation; 4) the use of ethnographic and ethno-aesthetic micro-units to create the artistic space of works; 5) the use of folk texts, linguistic turns, stylistic means to create poetics of works; 6) recreation of the model of behavior, the lifestyle of a working person, people and its presentation at the level of semantic codes of poetry; 7) the inclusion of worldviews, people's view of life, what is happening, the moral assessment of events, actions by ordinary people as a litmus test of truth; 8) appeal to God, to the questions of God-seeking as the moral support of the people, society. And so, the article is devoted to the interaction of the writer's work with folk culture, multi-genre oral folk art. The basic paradigms, causes, and mechanism of the inclusion of myths, legends, legends, parables in works of art are studied. The role of folk culture in the writer's works is considered.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".