The Story is Everywhere: Polish Jewish Children and Adolescents in Soviet Central Asia during the Second World War
Bibliographic record
Abstract
Close to 80 percent of all Polish Jews still alive in 1945 survived outside Poland, either deported to or exiled in Soviet territories, yet their life stories have been overlooked in much of Holocaust historiography (Goldlust, 2012). This thesis examines young survivors’ intimate experiences of exile and deportation in the Soviet Central Asian Republics during the Second World War. Anchored in oral testimonies from the Montreal Holocaust Museum by survivors who were children or adolescents during the war, I explore youths’ journeys to and within the region as well as their relationships with local populations and family members during this period. In the first chapter, I argue that children and youth faced particular dangers of displacement specific to their age groups, and examine the impact of famine, illness, and interrupted education on their experiences, as well as the psychological consequences of these movements. The second chapter holds that children and youth connected with local populations in a manner different from adult refugees, often forging close bonds and friendship and displaying a notable sense of solidarity with local residents. The third chapter, finally, turns to the presence and absence of family members during young people’s wartime displacements, directing attention to the role of age in shaping family dynamics and highlighting the divergent experiences of children and adolescents. Overall, this work aims to bring attention to young people’s unique and distinct experiences of deportation and exile in the Soviet Union.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".