Bibliographic record
Abstract
Ethnicizing Europe focuses on the dynamics of interethnic violence in Europe between the two world wars. The new international system that was enshrined by the Versailles peace treaties after World War I did not bring stability to East-Central Europe. Rather, it resulted in a host of conditions like self-determination, international oversight, revolutionary political ideas, and democratic processes, which eventually gave new meaning to already established conflicts, as well as igniting new conflicts in the region. This book opens with a discussion of the theoretical scholarship on ethnicity before proceeding to specific case studies investigating the different ways in which ethnicity was enacted and contested during a period of European transformation, focusing mostly on ethnically heterogeneous locales. Rather than concentrating on either political violence or ethnonationalism, this collection brings these two literatures together to show how ethnicization, the legal concepts of citizenship, and violence were intertwined in post-Versailles Europe, not only shaping the period between the wars, but also the Europe we know today. The book concludes with an afterword by Tara Zahra, which expands this perspective to the wider transatlantic region.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".