Reshaping Memory: Counter-Narratives in Kindertransport Literature
Bibliographic record
Abstract
This study examines the literary narratives (both non-fictional and fictional) of child Holocaust survivors who were evacuated on one of the Kindertransports to Britain focusing in particular on the writing of Karen Gershon, Ruth Barnett, and Josef Eisinger.My focus is on the Kinder's numerous retellings of their experience across different genres.I demonstrate that by transposing their story from one genre to the next the Kinder's narratives make observable the constructive process of memory and its mediated character.I argue that by continuously rewriting their Kindertransport experience, Gershon, Barnett, and Eisinger shed light on generally silenced elements of their evacuation.Their retellings challenge the British celebratory narrative, and reshape discourses around the history and memory of this rescue operation.Together, Gershon, Barnett, and Eisinger's accounts provide alternative perspectives on the Kindertransport based on their age, gender, emigration, and postwar relationships with surviving parents and relatives.Each of their corpuses encourages new dialogues in Kindertransport studies and introduces different literary genres to Kindertransport literature.Gershon's publications, ranging from her poems on the Jewish condition to her novels on the estrangement of German Jewish refugees in Britain, complicates perceptions of the redemptive celebratory narrative by complicating Britain's hospitable image.Barnett's corpus, which began with her academic publications in the field of psychology and eventually came to include an autobiography and a play, challenges the selective celebratory narrative around the Kinder's survival and adaptation in Britain by describing the after-effects of the partitioning of families on the Kinder.Eisinger's memoir, Flight and Refuge, composed of his wartime diary entries and Words cannot express my gratitude to Dr. Sarah Casteel, whose mentorship, encouragement
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.026 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".