Bibliographic record
Abstract
David L. Ransel and Bozena Shallcross, eds. Polish Encounters, Russian Identity. Bloomington and Indianapolis: Indiana University Press, 2005. vii, 218 pp.Polish-Russian relations are the subject of very complex and difficult discussions both on the political and cultural level. As a result of geopolitical conditions, Polish and Russian history is closely tied yet problematic. Religious and cultural differences have divided the two countries over centuries, and they continue to be the source of hostilities. The contributing writers to Polish Encounters, Russian Identity analyze the character of these relations and attempt to clarify how they fluctuated throughout various historical periods and the different political systems in Poland and Russia.Polish Encounters, Russian Identity is a collection of twelve essays, ten of which were presented at a conference on Polonophilia and Polonophobia of the Russians, which took place at Indiana University in Bloomington on 16-17 September 2000. The book was edited by the co-organizers of the conference, David L. Ransel, Robert F. Bymes Professor of History and the Director of the Russian and East European Institute at Indiana University, and Bozena Shallcross, an Associate Professor of Polish Literature at University of Chicago. The editors also co-authored the introduction, which offers an overview of Polish-Russian relations throughout the centuries and a short overview of the essays. Two additional essays enriched the publication: Repositioning Pushkin and the Poems of the Polish by Beth Holmgren and Manon de Courten's Vladimir Solov'ev's Views on the Polish Question: Poland and Reunion of the Eastern and Western Churches.The main focus of the book is to explore the formation of Russian identity and to analyze its interactions with and impact on Polish culture (p. 1). The essays cover a wide spectrum of analysis of Russian identity and how it was formed in relation to Poland, and they offer a multidisciplinary approach including music (Halina Goldberg's Appropriating Poland: Glinka, Polish Dance, and Russian National Identity), literature (Megan Dixon, who offers a new interpretation of Pushkin's poems regarding the Uprising of 1831 in Repositioning Pushkin and the Poems of the Polish Uprising); Nina Perlina's Dostoevsky and His Polish Fellow Prisoners from the House of the Dead, as well as At Home with Pani Eliza: Isaac Babel and His Polish Encounters by Judith Deutsch Kornblatt). …
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".