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Record W2109331179 · doi:10.1177/0142064x0402600403

The Politics of Identity in Ephesians

2004· article· en· W2109331179 on OpenAlexaff
Margaret Y. MacDonald

Bibliographic record

VenueJournal for the Study of the New Testament · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPoliticsIdeologyIdentity (music)JudaismJewish identityContext (archaeology)SociologyLawReligious studiesHistoryAestheticsPhilosophyTheologyPolitical science

Abstract

fetched live from OpenAlex

Drawing upon recent work on the political framework of the Pauline epistles, the goal of this article is to shed light upon the problem of historical reconstruction of the context of Ephesians. In response to some commentators who have contended that the author of Ephesians failed to show interest in contemporary Jews, it is argued that Eph. 2.11-22 is best understood as reflecting significant engagement with the life and fate of the Jewish people. Both the conceptions of society and the presentation of the identity of the ekklesia are examined in light of the situation of the Jews in the empire under Domitian. It is argued that the use of ambiguous categories to refer to the relations between the ekklesia and Israel reflect concrete experiences in the ekklesia of shifting identity, in part dependent on the changing circumstances of the Jews. The existence of these social dynamics is confirmed by examining the points of contact between Ephesians and imperial ideology as revealed especially in the interplay of religious, civic, and domestic themes in the epistle. Comparison of Ephesians to Josephus’s Against Apion proves to be especially useful in bringing this interplay into full relief.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.040
Scholarly communication0.0080.004
Open science0.0000.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.305
Teacher spread0.266 · 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 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

Citations18
Published2004
Admission routes1
Has abstractyes

Explore more

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