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Record W4282983043 · doi:10.1177/1476993x221100993

Intertextuality and New Testament Studies

2022· article· en· W4282983043 on OpenAlexaff
Doosuk Kim

Bibliographic record

VenueCurrents in Biblical Research · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsMcMaster Divinity College
Fundersnot available
KeywordsIntertextualityInterpretation (philosophy)New TestamentLiteratureScholarshipBiblical studiesPhilosophyLinguisticsArt

Abstract

fetched live from OpenAlex

Intertextuality is a hermeneutical strand of poststructuralism. In biblical scholarship, since Hays’s influential work Echoes of Scripture in the Letters of Paul (1989), the term has also been employed to refer to a later text’s interpretation of an earlier text. Regrettably, however, for the past three decades, scholars have failed to come to a consensus on how to understand and apply intertextuality in New Testament studies. Though both literary and biblical studies employ the same term intertextuality, their conception and application of intertextuality differs substantially. Accordingly, this essay will sketch how literary and biblical studies have perceived and utilized the concept of intertextuality. Following this, the study will evaluate these approaches. Finally, the present essay will conclude with a proposal for how to relate intertextuality and New Testament studies that is a cogent middle ground between poststructuralism and biblical studies, thereby compensating for both sides’ deficiencies.

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)0.009
metaresearch head score (Gemma)0.017
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 score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.007
Science and technology studies0.0050.077
Scholarly communication0.0120.014
Open science0.0020.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.605
GPT teacher head0.511
Teacher spread0.094 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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