Political novel of alternative history. The aspect of poetics and genealogical perspectives.
Bibliographic record
Abstract
A geologically alternative history was formed based on the matrix of a historical novel (according to N. Kopystyanskaya - even an English historiographic novel) and formal markers and architectonic "puzzles" of a science fiction novel. In the historical and literary key of timeliness, the first factual examples of the story of alternative history relate to the beginning of the twentieth century in the USA, Canada, and Western Europe and distributed in the literature of the Slavic world in the middle of the twentieth century, being actualized in Russian and Far Eastern literature in the 70s of the twentieth century. In the second decade of the 21st century, historical alternative studies in fiction appeared and gained demand in the middle literature of Australia and Oceania. The aim of the study. The study is devoted to the functioning of the subgenre of the political novel of alternative history in fiction in general and within the meta-genre of alternative history. The article aims to determine the identity and genological character of the subgenre, and its stylistic features, which form a special set of markers of recognition, which forms the novelty of the study since such a study is conducted for the first time.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".