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Record W1964474784 · doi:10.1017/s001781600600126x

Factualizing the Folklore: Stephen Carlson's Case against Morton Smith

2006· article· en· W1964474784 on OpenAlexaff
Scott Brown

Bibliographic record

VenueHarvard Theological Review · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHoaxFolkloreGospelInscribed figureOrder (exchange)ClassicsHistoryLiteratureArt historyPhilosophyArt

Abstract

fetched live from OpenAlex

Stephen C. Carlson's The Gospel Hoax sets out to validate the long-standing suspicion that Professor Morton Smith, late of Columbia University, forged his famous discovery of aletter of Clement of Alexandria, which quotes from a longer(“secret”)Gospel of Mark. This academic folklore has been passed on like an esoteric tradition since 1975, when Quentin Quesnell called on Smith to make the manuscript of this letter available for forensic testing in order to rule out the possibility of a recent hoax. Quesnell had difficulty substantiating his concerns. In his article in the Catholic Biblical Quarterly , he postulated that a modern scholar might have devised the letter as “a controlled experiment” in order to examine how scholars react to new evidence. Yet the manuscript of this letter, which Smith found in 1958, was inscribed on the last pages of a seventeenth-century book that purportedly was kept in a locked room of a monastery in the Judean desert. What modern forger would leave his creation there and gamble that someone would discover it in his lifetime? For this scenario to seem at all plausible, Quesnell needed to imply what he personally suspected, namely, that Smith forged it himself for this purpose. Accordingly, Quesnell described his hypothetical modern “mystifier” as someone who shared Smith's abilities, opportunities, resources, and interest in what people make of the document.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.032
GPT teacher head0.235
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2006
Admission routes1
Has abstractyes

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