Bibliographic record
Abstract
From the 1970s, the term metafiction has been mostly confined to studies of American and Western European literatures; I propose using metafiction as a means of approaching Sergei Dovlatov’s Zona [The Zone], a novel which blurs the line between fiction and memoir. In one sense a prison text, in that it concerns the lives of guards and prisoners in a camp, it is, however, divorced from survivor narratives in that the camp does not contain political prisoners, so the “heroes” are the thieves and criminals so universally reviled in other memoirs of the Soviet gulag. It is also a record of its author’s developing need to write as it tracks the transformation of the guard Boris Alikhanov, Dovlatov’s alter-ego. Dovlatov’s authorial persona serves not to elucidate the text, but to construct a hybrid prison memoir which supports his views on the prison experience; views which are in opposition to the pre-existing tradition, and this leads me to describe The Zone as a metatextual camp narrative, containing many of the attributes of the metafictional novel, though originating from the memoiristic impulse and still straddling the line between fiction and nonfiction in a way that true metafictions do not.
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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 | 0.006 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".