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Record W2515672498 · doi:10.1017/pli.2015.27

David Dabydeen’s Hogarth: Blacks, Jews, and Postcolonial Ekphrasis

2015· article· en· W2515672498 on OpenAlexaff
Sarah Phillips Casteel

Bibliographic record

VenueThe Cambridge Journal of Postcolonial Literary Inquiry · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsThe HolocaustReading (process)JudaismLiteratureArtJewish studiesArt historyHistoryPhilosophyTheology

Abstract

fetched live from OpenAlex

Eighteenth-century satirical artist William Hogarth figures centrally in Guyanese writer David Dabydeen’s ekphrastic postcolonial fiction. In particular, Dabydeen’s novelsA Harlot’s ProgressandJohnson’s Dictionaryinvoke plate 2 of Hogarth’s 1732 seriesA Harlot’s Progress, which depicts the encounter of a cuckolded Jewish merchant, his mistress, and a turbaned slave boy. In this article, I argue that Dabydeen’s strategy of introducing visual intertexts into his fiction encourages a comparative reading of the representational regimes that historically have shaped popular perceptions of blacks and Jews. Situating Dabydeen’s Hogarth novels as part of a larger tradition in postwar Caribbean writing of advancing an identificatory reading of Jewishness, I examine how Dabydeen’s novels illustrate the need to broaden discussions of the relationship between postcolonial and Jewish studies beyond the question of Holocaust memory.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.265
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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