Navigating a Limited ‘World of Possibilities’: Refugee Journeys of Jewish Children and Youth in the Aftermath of the Holocaust
Bibliographic record
Abstract
What can historians bring to the current discussion about refugee journeys? Building on the example of a group of 1,115 young Jewish survivors who went to Canada in the immediate aftermath of the Holocaust, this article addresses two essential questions: why did they leave and why did they go to Canada and not elsewhere? Drawing on Nicolas Mariot and Claire Zalc's notion of a ‘world of possibilities’ and taking into consideration age as a category of analysis, I argue that one can formulate hypotheses about these journeys by, first, mapping what was and was not available to the young survivors at different moments of their displacement and, second, by looking at how individuals navigated these possibilities and constraints. In so doing, this article aims to nuance approaches that uncritically emphasise agency, and therefore erase the specificity of young people's experiences of displacement.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.018 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| 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".