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Record W2998275084 · doi:10.2478/abcsj-2019-0017

Suspect Survival: Matrophobia in Postmemory Generational Writing

2019· article· en· W2998275084 on OpenAlexaboutno aff
Elizabeth Kella

Bibliographic record

VenueAmerican, British and Canadian Studies · 2019
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeMemoirThe HolocaustKinshipContext (archaeology)Life writingHolocaust survivorsAgency (philosophy)Gender studiesGenealogySociologyHistoryLiteratureAnthropologyArtArt historyPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Abstract Family and kinship carry special significance to Holocaust survivors and their descendants. In autobiographies and family memoirs, writers of what Marianne Hirsch terms the postmemory generation employ different narrative strategies for coming to terms with the ways in which the Holocaust has marked their identities and family ties. This article focuses on women’s writing of the postmemory generation, examining three works in English by daughters of survivors in the UK, the US, and Canada, written during the 1990s. It investigates the narrative strategies used by Anne Karpf, Helen Fremont, and Lisa Appignanesi to represent maternal sexual agency and vulnerability in a survival context. It suggests that these representations are strongly influenced by matrophobia and matrophilia, defined as the conflicting dread of becoming and desire to be one’s mother, which are themselves strongly conditioned by Holocaust history, particularly the gendered history of vulnerability among women in open hiding during the war 1 .

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.291
Teacher spread0.269 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2019
Admission routes1
Has abstractyes

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