History of the Literary Cultures of East-Central Europe
Bibliographic record
Abstract
National literary histories based on internally homogeneous native traditions have significantly contributed to the construction of national identities, especially in multicultural East-Central Europe, the region between the German and Russian hegemonic cultural powers stretching from the Baltic states to the Balkans. History of the Literary Cultures of East-Central Europe , which covers the last two hundred years, reconceptualizes these literary traditions by de-emphasizing the national myths and by highlighting analogies and points of contact, as well as hybrid and marginal phenomena that traditional national histories have ignored or deliberately suppressed. The four volumes of the History configure the literatures from five angles: (1) key political events, (2) literary periods and genres, (3) cities and regions, (4) literary institutions, and (5) real and imaginary figures. The first volume, which includes the first two of these dimensions, is a collaborative effort of more than fifty contributors from Eastern and Western Europe, the US, and Canada.The four volumes of the History comprise the first volume in the new subseries on Literary Cultures. This volume is part of a book set which can be ordered at a special discount: https://www.benjamins.com/series/chlel/chlel.special_offer.literarycultures.pdf
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".