Development of Images-Symbols in the Russian Language (Linguoculturological Aspect)
Bibliographic record
Abstract
The article is devoted to linguistic images-symbols as national-specific elements of the Russian languagereflecting the peculiar character of the national (Russian) culture, special aspects of national way of thinking andinterpretation of the surrounding world. The dependence of images-symbols evolving in the Russian language onthe specifics of each historical period in the development of Russian language cultural community is exposed onthe grounds of the study being undertaken. It has been established that functioning of images-symbols with theemotive-estimating nature having imaginative-symbolic sense appeared to be the consequence of religioussymbolism deprivation in syntagmatic combinations of the ancient syncretism epoch as a result of decompositionin syncretic thinking of a man within the Epichristian period, of change in socio-cultural situation in AncientRussia, i.e. the rejection of the Church Slavonic nature of language and the implantation of laic principle into thecommunity of medieval-era.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".