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Record W2766033174 · doi:10.1177/0142064x17737425

Deception in the Speech Profile of the Johannine Jesus (John 7.1-10)

2017· article· en· W2766033174 on OpenAlexaff
Tyler Smith

Bibliographic record

VenueJournal for the Study of the New Testament · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConversationGospelNew TestamentNothingDeceptionOrder (exchange)PhilosophyHermeneuticsLiteratureValue (mathematics)TheologyEpistemologyPsychologyLinguisticsArtSocial psychology

Abstract

fetched live from OpenAlex

The Johannine Jesus regularly speaks in terms that are ‘misunderstood’ by dialogue partners. That is, Jesus’ dialogue partners fail to appreciate his words in the profound register he apparently intends and which the paradigmatic reader is apparently able to grasp. Taken at face value, however, in a mundane register, the remarks constitute acts of deception. The exchange between Jesus and his brothers in Jn 7.1-9, combined with the narrator’s comment in 7.10, offers the clearest instance of this pattern. Jesus’ brothers hear his words in a mundane sense, are deceived and depart. The figure of Jesus, furthermore, despite having preternatural access to ‘what was inside a person’ (cf. 2.24-25), appears unaffected by their deceived state and does nothing to remedy it. This too is consistent with his speech profile in the Fourth Gospel, where he is represented as uninterested in guiding conversation partners towards the profound, higher-order ‘truths’ of his verbal revelations. These tendencies of the Johannine Jesus to mislead his conversation partners on the mundane level and subsequently leave them in the dark, I argue, have been largely obscured by a tradition of apologetic hermeneutics reaching from antiquity to modern New Testament study.

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 categoriesScience and technology studies
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 score0.228
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.316
Teacher spread0.252 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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