Bibliographic record
Abstract
The object of research of this article is Soviet propaganda porcelain, produced at the very beginning of the formation of Soviet Russia. The paper considers the beginning of the formation of a new porcelain production after the October Revolution of 1917, which took part in the framework of the Soviet monumental propaganda plan. This plan was developed by the leader of the revolution V.I. Lenin. The transformation of artistic techniques and images used on products made of “white gold” was also analyzed. The image on plates, vases, cups of communist slogans, symbols and portraits of revolutionary persons marked the beginning of the creation of such a unique phenomenon as propaganda porcelain, which was supposed to educate Soviet citizens in the context of party policy. The best Russian artists and sculptors of the first quarter of the 20th century worked on its creation. Therefore, the propaganda porcelain turned out to be highly artistic, which was the reason for its success at the international exhibitions and popularity among foreign collectors. However, this fact, combined with the complexity of production, has formed a high cost of products. This did not allow plates and cups with party calls and portraits of the leaders of the proletariat to penetrate into the wider population and conduct ideological propaganda in the everyday life. At the same time, through the products exhibited abroad, a demonstration of Soviet attributes and culture in general was made, which positively influenced the recognition of the new Russia abroad as an objective reality.
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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 | 0.002 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".