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Record W2325901598 · doi:10.3138/jrpc.12.1.002

Re-sexualizing the Magdalene: Dan Brown’s Misuse of Early Christian Documents in <i>The Da Vinci Code</i>

2006· article· en· W2325901598 on OpenAlexvenueno aff
Nancy Kalvert-Koyzis

Bibliographic record

VenueJournal of Religion and Popular Culture · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Religious, and Philosophical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsApostleApostlesCode (set theory)PhilosophyTheologyArtLiteratureComputer scienceProgramming language

Abstract

fetched live from OpenAlex

In his overwhelmingly popular novel, The Da Vinci Code, Dan Brown states that he describes all documents “accurately” when he asserts the theory that Mary Magdalene had a sexual relationship with Jesus, was married to him and bore his children. In this article I will examine the sources for Brown’s ideas and compare them to the actual documents–particularly the Gnostic gospels –that he claims to have carefully described. I will argue that Brown not only misrepresents the documents that he claimed to have used but that he actually replicates the errors of the early church by concentrating on Mary’s sexual status rather than upon her status as the apostle to the apostles.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.031
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0030.009
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 head0.027
GPT teacher head0.261
Teacher spread0.234 · 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 designTheoretical or conceptual
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
Published2006
Admission routes1
Has abstractyes

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