Imaginary Neighbors: Mediating Polish-Jewish Relations after the Holocaust
Bibliographic record
Abstract
Imaginary Neighbors offers a unique and significant contribution to the contemporary debate concerning Holocaust memory by exploring the most important current political topic in Poland: Jewish-Polish relations during and after World War II. Drawing on the controversy and attention generated by Jan Gross's landmark book Neighbors, whose description of the brutal Jedwabne massacre reignited the debate over Polish-Jewish relations during the war, this timely volume presents a rich and nuanced examination of the manner in which past and present relations between Poles and Jews are understood in Poland and in the Polish and Jewish diasporas. Rather than revisiting historical details of Jedwabne, this innovative collection uses an interdisciplinary approach to understand the reverberations of the events-and the scholarship that has evolved around them-within the context of the Polish national community. Combining scholarly essays with literary and journalistic accounts, Imaginary Neighbors demonstrates that the Holocaust memory in Poland, together with the memory of Polish Jews and Jewish culture, continues to be engaged in conflict. What emerges is a passionate conversation among cultural critics, philosophers, literary theorists, historians, theologians, and writers on the vexing issues of responsibility, forgiveness, reconciliation, and national and religious identity. Dorota Glowacka is an associate professor in Contemporary Studies at the University of King's College, in Halifax, Nova Scotia. She is a coeditor of Between Ethics and Aesthetics: Crossing the Boundaries. Joanna Zylinska is a senior lecturer in the Department of Media and Communications at Goldsmiths College at the University of London. She is the author of The Ethics of Cultural Studies and On Spiders, Cyborgs, and Being Scared: The Feminine and the Sublime.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".