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Record W2004800485 · doi:10.3138/jrpc.25.3.333

Interpretive Treatments of Genesis in Comics: R. Crumb & Dave Sim

2013· article· en· W2004800485 on OpenAlexvenueno aff
Don Jolly

Bibliographic record

VenueJournal of Religion and Popular Culture · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsExegesisComicsContext (archaeology)StorytellingArtLiteratureDimension (graph theory)HistoryNarrativeArchaeology

Abstract

fetched live from OpenAlex

Abstract: In recent years, several interesting and complex exegetical works have been produced in the comic book format. The most notable are Robert Crumb’s Illustrated Book of Genesis, and the elaborate Genesis commentary by Dave Sim as part of his long-running independent series Cerebus. Crumb, I argue, uses the comic book format as a means to limit the theological dimension of the text. Sim, by contrast, subordinates the elements of his form to the creation of a highly idiosyncratic exegesis. A close examination of both works charts two radically different and innovative exegetical styles, united by the use of the novel methods of visual storytelling and existence within the context of previous Bible comics. This examination seeks to make these methods accessible to the religious scholar, thus opening the field of graphic exegesis to further examination.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.023
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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