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Record W3109750584 · doi:10.1093/hgs/dcaa024

Jazz Fiction and the Holocaust: Reading History for Clues in the Novels of John A. Williams and Esi Edugyan

2020· article· en· W3109750584 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHolocaust and Genocide Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsCarleton University
Fundersnot available
KeywordsBluesJazzThe HolocaustNazismLiteratureNarrativeHistoryArtArt historyPhilosophyTheology

Abstract

fetched live from OpenAlex

Abstract This article draws attention to a body of fiction that expands our understanding of the Holocaust by imaginatively reconstructing the neglected experiences of Black victims of Nazi persecution. Two key examples are John A. Williams’ Clifford’s Blues (1999) and Esi Edugyan’s Half-Blood Blues (2011), both of which recall the Black jazz musicians in wartime Europe caught up in the Nazis’ genocidal campaign. Seeking to integrate their stories into the collective memory of World War II, Williams and Edugyan combine Holocaust fiction’s documentary effect with characteristic thematic and formal strategies of jazz fiction. Williams adopts the solitary voice of the troubled bluesman, while Edugyan embraces jazz’s polyvocality. Notwithstanding the risks of Holocaust analogies that Clifford’s Blues in particular exposes, both novels illustrate the capacity of jazz fiction to produce revisionary historical narratives and intervene in memory culture.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.449

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 studies0.0010.001
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 head0.107
GPT teacher head0.255
Teacher spread0.148 · 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