How Demyan Bedny — “a Harmful Man” — Deceived Himself. (on the Creative History of the Epic “Rock Formation”)
Bibliographic record
Abstract
The article is devoted to two episodes from the life of Demyan Bedny. The first is connected with the once popular book by S.Z. Fedorchenko “The People at War” — the author’s text, which the poet took for a folklore source. Demyan Bedny made a similar mistake shortly before his death, while working on the epic “The Rock Formation”, today almost forgotten by both readers and researchers of the poet’s work. It is a verse arrangement of the Ural tales of P.P. Bazhov. The article restores the path to the poet’s realization that in the case of the Ural tales, he was dealing not with workers’ folklore, but with a literary author’s text. It is because of this that the tales, arranged in verse, were never published during Demyan Bedny’s lifetime. Only after the poet’s death did his son publish the full version of the collection. The article publishes for the first time archival documents, telling about the author’s work on this text and about the publication of the full text of the epic by the poet’s son.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".