Bibliographic record
Abstract
In Life Is Elsewhere, Anne Lounsbery shows how nineteenth-century Russian literature created an imaginary place called "the provinces"—a place at once homogeneous, static, anonymous, and symbolically opposed to Petersburg and Moscow. Lounsbery looks at a wide range of texts, both canonical and lesser-known, in order to explain why the trope has exercised such enduring power, and what role it plays in the larger symbolic geography that structures Russian literature's representation of the nation's space. Using a comparative approach, she brings to light fundamental questions that have long gone unasked: how to understand, for instance, the weakness of literary regionalism in a country as large as Russia? Why the insistence, from Herzen through Chekhov and beyond, that all Russian towns look the same? In a literary tradition that constantly compared itself to a western European standard, Lounsbery argues, the problem of provinciality always implied difficult questions about the symbolic geography of the nation as a whole. This constant awareness of a far-off European model helps explain why the provinces, in all their supposed drabness and predictability, are a topic of such fascination for Russian writers—why these anonymous places are in effect so important and meaningful, notwithstanding the culture's nearly unremitting emphasis on their nullity and meaninglessness.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.568 | 0.416 |
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".