Greater and Lesser Milestones of the Russian Apocalypse: War and Revolution in Russian History and Literature of the First Quarter of the 20th Century
Bibliographic record
Abstract
The works included in the collective monograph explore the features of the literary process dating back to the era of the Russo-Japanese War and the Russian Revolution of 1905, in connection with the dominant cultural, historical, literary and social factors of this period. The studies are based on the intertwining of content and poetological relationships between catastrophic shifts in Russian society and the growth of new trends in literature, art, philosophy, artistic and scientific journalism. The contributors to this volume try to show how the war and the revolution brought a number of ideological and artistic innovations in the work of such different writers as Dmitry Merezhkovsky, Leonid Andreev, Korney Chukovsky, Skitalets (S.G. Petrov), Alexander Kuprin, Ivan Shmelev, Alexandra Mire (Moiseeva), Ivan Bunin and others. A number of studies are based on previously little-known printed and archival materials (letters, unpublished articles, early versions of literary texts, etc.). Two types of understanding of the Apocalypse (active and projective) are distinguished: the latter is determined by the active and creative eschatology of N.F. Fedorov and V.S. Solovyov.
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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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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".