Inherited Traumatic Threads: Postmemory and the Dis/function of Hand-Me-Downs in Bernice Eisenstein’s I Was a Child of Holocaust Survivors
Bibliographic record
Abstract
Bernice Eisenstein’s I Was a Child of Holocaust Survivors demonstrates how hand-me-downs function as physical links that Eisenstein uses when attempting to bridge the gaps between herself, her late father, and his Holocaust past in order to address her postmemory; however, as much as these hand-me-downs allow her to address her postmemories, they reinscribe inherited traumas that stem from her father’s Holocaust past. Eisenstein’s work serves as a generative example of how the second generation’s relationships to such clothing often reflect how they inherit and are “dressed in” their postmemories.L’ouvrage de Bernice Eisenstein, I Was a Child of Holocaust Survivors, montre comment les vêtements usés fonctionnent comme des liens physiques qu’Eisenstein utilise pour tenter de combler le fossé entre elle-même, son défunt père et le passé de l’Holocauste de ce dernier, afin d’aborder sa post-mémoire ; cependant, autant ces vêtements lui permettent d’aborder sa post-mémoire, autant ils réinscrivent les traumatismes hérités du passé de l’Holocauste de son père. Le travail d’Eisenstein sert d’exemple génératif de la façon dont les relations de la deuxième génération avec ces vêtements reflètent souvent la façon dont ils héritent et sont « habillés » de leurs post-mémoires.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".