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Record W2602478900 · doi:10.3138/ecf.29.3.427

William Beckford’s Comic Book, or Visualizing Orientalism with <i>Vathek</i>

2017· article· en· W2602478900 on OpenAlexvenueno aff
Eliza Bourque Dandridge

Bibliographic record

VenueEighteenth-Century Fiction · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsOrientalismLiteratureNovellaArtAnachronismExaggerationAdventureBiographyDepictionStyle (visual arts)FableHistoryArt history

Abstract

fetched live from OpenAlex

Since its publication in 1786, William Beckford’s oriental tale Vathek has polarized readers. Written in the style of The Arabian Nights, Beckford’s novella of the ninth caliph of Baghdad has been paradoxically defined as Eastern fable, Western fiction, autobiography, biography, and proto-ethnography. Likewise, stylistic assessments have cast Beckford’s tale as satire, parody, pastiche, gothic, horror, and camp. This article attributes Vathek’s striking polysemy to its visualizing orientalism, a graphic—and graphical—manner of depiction not unlike the visual-textual language of comics. With its emphasis on setting, action, and gesture, Vathek reads like a classic action-adventure comic book. Moreover, Beckford’s penchant for exaggeration and distortion steers Vathek into the domain of caricature and cartooning, an aesthetic that dominated the most popular European action-adventure comics, or bandes dessinées, of the mid-twentieth century. Drawing heavily on comics theory, this anachronistic and experimental re-evaluation of Vathek as a comic book uncovers the mechanics of Beckford’s visualizing orientalism and gauges the effects of caricature and cartoons on its resonance and reception.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.258
Teacher spread0.226 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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