Memory and forgetting in Lisa Appignanesi’s "The Memory Man"
Bibliographic record
Abstract
The aim of this paper is to look at Lisa Appignanesi’s novel The memory man ([2004] 2005), which won the 2005 Holocaust Literature Award, and examine the patterns of remembering and forgetting as indispensable aspects conducive to the formation of Jewish identity. The main character of the book, Bruno Lind, a Holocaust survivor and a scientist dealing professionally with the complicated neurological issues of remembering and losing memory, tries to recollect his war memories during a journey to the places of his youth which are at the same time the sites of his and his family’s trauma. The Holocaust, change of identities, the war memories and finally the stay at the DP camps and escape to Canada return to Bruno Lind’s mind in order to be passed onto the next generation and remembered. This article shows Appignanesi’s novel as an important contribution to the discussion on the role of memory in Jewish identity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".