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Record W3213611672 · doi:10.3138/jrpc.2019-0004

It is Re-Written: Lessons from Chester Brown’s<i>Mary Wept</i>on Biblical Traditions and Biblical Scholarship in the Wild

2021· article· en· W3213611672 on OpenAlexaffvenue
Aaron Ricker

Bibliographic record

VenueJournal of Religion and Popular Culture · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsMcGill University
Fundersnot available
KeywordsScholarshipObedienceLiteratureTheologySociologyReligious studiesHistoryPhilosophyArtLawPolitical science

Abstract

fetched live from OpenAlex

Chester Brown’s critically acclaimed 2016 graphic novel, Mary Wept Over the Feet of Jesus: Prostitution and Religious Obedience in the Bible, raises important questions about the right—and the right way—to interpret religious traditions outside sanctuary doors, and Religious Studies outside the Ivory Tower. With the help of generous notes and appendices, which take up a full third of the book, Mary Wept reworks Bible stories and biblical studies for a general audience to create a conspiracy-theory-based Christian apology for sex work. This article provides an introduction to Brown’s book and its relevant book-and-Bible-related contexts, and argues that Mary Wept represents neither Bible adaptation nor popularized biblical scholarship per se. Brown’s book is instead, I argue, best understood as a new species of “rewritten Bible” claiming the authority of scholarship as surrogate religious authority. It is therefore a pop culture weather vane of great interest to Religious Studies scholars, not least as a reminder of our public image and our professional responsibilities.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.885

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.081
GPT teacher head0.300
Teacher spread0.219 · 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 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

Citations0
Published2021
Admission routes2
Has abstractyes

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