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Record W4307369129 · doi:10.5325/jtheointe.16.2.0223

David, Uriah, Jesus, and Judas: An Intertestamental Pattern of Betrayal

2022· article· en· W4307369129 on OpenAlexaff
Daniel J. D. Stulac, David Andrew Smith

Bibliographic record

VenueJournal of Theological Interpretation · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsBriercrest College and Seminary
Fundersnot available
KeywordsBetrayalGospelMessiahExegesisHittite languagePhilosophyWifeLiteratureRomanceTheologyHistoryArtAncient historyLaw

Abstract

fetched live from OpenAlex

Abstract This essay is a study in typological exegesis across the testaments of the Christian Bible. Specifically, in light of early Christian conviction that Jesus of Nazareth is the anointed son of David, we seek to understand how the story of David’s violent murder of Uriah the Hittite and rape of Bathsheba figure within a canonical framework in which Jesus is presented as David’s heir and yet also as the one in whom the Davidic legacy of violent betrayal reaches fulfillment. Beginning with a literary reading of David’s sins and their legacy in Samuel–Kings, the essay moves to consider the under-studied reference to Uriah and his wife in the Matthean genealogy and its import for Matthew’s presentation of Jesus as a “son of David.” We suggest that in the gospel tradition, David’s violence concentrates in the obscure figure of Judas Iscariot, who, like Uriah the Hittite, appears last in the roll of individuals faithful to their Israelite king (Matt 10:4; Mark 3:19; Luke 6:16; see 2 Sam 23:39). In contrast to Uriah’s fidelity to David—but in step with David’s betrayal of Uriah—Judas’s treachery demonstrates why typological readings of Jesus as the Davidic heir remain necessarily complex. The Gospels identify Jesus as a new son of David, and in so doing, they also present him as one who transforms that scriptural paradigm through his symbolic reversal of David’s sin.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.997

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.257
Teacher spread0.229 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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