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Record W7074606329

Memory and forgetting in Lisa Appignanesi’s "The Memory Man"

2017· other· en· W7074606329 on OpenAlexaboutno aff

Bibliographic record

VenuePressto (Uniwersytetu Adama Mickiewicza) · 2017
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForgettingThe HolocaustCharacter (mathematics)Motivated forgettingAutobiographical memoryHolocaust survivorsOrder (exchange)Memory work
DOInot available

Abstract

fetched live from OpenAlex

The aim of this paper is to look at Lisa Appignanesi’s novel The memory man ([2004]
\n2005), which won the 2005 Holocaust Literature Award, and examine the patterns of
\nremembering and forgetting as indispensable aspects conducive to the formation of
\nJewish identity. The main character of the book, Bruno Lind, a Holocaust survivor and a
\nscientist dealing professionally with the complicated neurological issues of remembering
\nand losing memory, tries to recollect his war memories during a journey to the places
\nof his youth which are at the same time the sites of his and his family’s trauma. The
\nHolocaust, change of identities, the war memories and finally the stay at the DP camps
\nand escape to Canada return to Bruno Lind’s mind in order to be passed onto the next
\ngeneration and remembered. This article shows Appignanesi’s novel as an important
\ncontribution to the discussion on the role of memory in Jewish identity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.003

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.

Opus teacher head0.037
GPT teacher head0.210
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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