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Record W4210771240 · doi:10.5325/jtheointe.11.2.0259

Unearthing Paul's Ethics: Douglas Campbell on Creation, Redemption, and the Christian Moral Life

2017· article· en· W4210771240 on OpenAlexaff
Joel Thomas Chopp

Bibliographic record

VenueJournal of Theological Interpretation · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of TorontoWycliffe College
Fundersnot available
KeywordsIncarnationInterpretation (philosophy)ConstructiveGospelReading (process)PhilosophyArgument (complex analysis)EpistemologyRelation (database)SermonEschatologySociologyTheology

Abstract

fetched live from OpenAlex

ABSTRACT This article will examine and critique Douglas Campbell's account of the proper grounds for Christian ethics in light of his exegesis and interpretation of Gal 3:28. It will do so by raising three difficulties for his proposal. First, a close reading of his argument will show that as it stands it suffers from a lack of internal coherence. Second, it will show that Campbell's project is best understood as a restriction of the sources for ethical belief formation and then argue that this restriction leaves the ethicist with insufficient resources for constructive ethical reflection. Finally, it will show that his reading of Gal 3:28 shows considerable tension with the development of his thought in his recent essay, “Apocalyptic Epistemology” and also appears to be incompatible with traditional accounts of the incarnation. Inasmuch as Campbell's proposal reflects a number of common trajectories in contemporary studies of Pauline ethics—a turn toward eschatology, a suspicion of “natural theology,” and an emphasis on the liberational elements of Paul's gospel—the conclusions of this article have salient implications for future studies in Pauline ethics, particularly on the continuities and discontinuities between the categories of our lived existence and their relation to our identity in Christ.

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)0.004
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.312
Teacher spread0.242 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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