Identity transformations of Ukrainian Jewry during the Russian–Ukrainian war: Odesa’s communities and religious leaders at home and in exile
Bibliographic record
Abstract
Russia’s extended war on Ukraine has profoundly affected the country’s religious communities, institutions, and congregational networks. These networks were built on deep historical, cultural, and familial ties across the region. Most literature on identity transformations during the war has focused on the macro-level analysis of Ukraine’s majority populations and the relationship between Russian and Ukrainian cultural and linguistic elements in the rise of civic Ukrainian identity. This article expands this discussion by examining the experiences of Ukraine’s Jewish ethnoreligious minority as well as the roles of its community organizations and religious leaders in shaping attitudes and orientations towards emerging identities. It argues that the war has triggered a multidirectional process of identity transformation, and it challenges it conventional understandings of belonging in wartime Ukraine and in communities of the displaced. Drawing on ethnographic fieldwork and interviews conducted virtually and in the field, primarily with Jews from Odesa, the author shows how Jews at home and in exile have come to position themselves as more and more Ukrainian while at the same time deepening their Jewish identity through active participation in Jewish communal life.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".