Bibliographic record
Abstract
Abstract This chapter examines the use of highly serious and lowly comedic elements in dissenting novels circulated in samizdat to argue that the combination of these features helped Soviet citizens confront the Stalinist legacy. The chapter juxtaposes Alexander Solzhenitsyn’s novelization of the Gulag experience in terms of epic moral journey in The First Circle to Vladimir Voinovich’s The Life and Extraordinary Adventures of Private Chonkin, which farcically portrays Stalin-era life. Although Mikhail Bakhtin argued that the epic and the familiar could not meet on the same plane of representation, other dissenting novelists exploited this unlikely conjunction to express the reality of late Soviet life. Novels including Andrei Bitov’s Pushkin House, Vasily Aksenov’s The Burn, and Venedikt Erofeev’s Moscow Stations illustrate the use of contradictory elements to promote intellectual engagement and orient readers to alternative future possibilities for late socialism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".