‘And I Did Want to Pass’: Reading Canadian Second Generation Holocaust Memoirs as Migration Texts
Bibliographic record
Abstract
One aspect of post-Holocaust Jewish life to which little attention has been paid in the study of Holocaust literature is the experience of migration. This article examines three Canadian Second Generation Holocaust memoirs and their portrayal of migration. Memoirs by Jewish-Canadian authors prove to be particularly beneficial for analyzing aspects of migration because the immigration of Canada’s survivors often took place when their children were old enough to consciously experience it. Lisa Appignanesi’s Losing the Dead (1999), Eva Hoffman’s Lost in Translation (1989), and Elaine Kalman Naves’s Shoshanna’s Story (2003) all depict the challenges of the arrival to 1950s Canada. The memoirs explore the ways in which the young immigrants cope with dislocation, alienation, and belonging. Against the backdrop of a traumatic family history, they experience different forms of ‘cultural crossings’ - for instance, with regard to language, the immigrant’s body, or religious identity. The focus on migration in Second Generation memoirs highlights the transnational and transcultural rather than merely the transgenerational features of Holocaust memory.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.030 | 0.019 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".