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Record W2062481000 · doi:10.1177/0008429810377978

The True Covenant People: Ethnic Reasoning in the Epistle of Barnabas

2010· article· en· W2062481000 on OpenAlexvenueno aff
Michael J. Kok

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEthnic groupChristian IdentityPhilosophyIdentity (music)CovenantEthnologyTheologySociologyAnthropologyAesthetics

Abstract

fetched live from OpenAlex

There was no abstract conception of religion in antiquity, but religious beliefs and practices were closely intertwined with ethnicity in the Graeco-Roman period. Building on the groundbreaking studies of Denise Kimber Buell, I investigate the use of ethnic reasoning in centrist Christian identity formation with the epistle of Barnabas as a specific case study. The epistle of Barnabas utilizes ethnic reasoning to construct a distinct Christian ethnic identity and to manufacture sharp differences between Christian and Judaean social praxis. In order to promote the idea of a homogeneous Christian ethnic identity with pure origins, Barnabas re-appropriates the legacy of Israel while representing the ‘‘Judaean’’ as an adversaral foil. Il n’y avait pas de conception abstraite de la religion dans l’antiquité, mais les croyances et pratiques religieuses étaient étroitement entrelacées à l’ethnicité dans la période gréco-romaine. En me basant sur les études innovantes de Denise Kimber Buell, je recherche l’utilisation du raisonnement ethnique dans la formation de l’identité chrétienne avec l’épitre de Barnabas comme étude de cas. L’épitre de Barnabas utilise le raisonnement ethnique pour construire une identité chrétienne distincte et pour créer une nette différence entre les coutumes chrétiennes et judaïques. Afin de promouvoir l’idée d’une identité chrétienne homogène avec des origines pures, Barnabas rétablit l’héritage d’Israël tout en représentant le christianisme et le judaïsme comme des adversaires.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.739
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.080
GPT teacher head0.366
Teacher spread0.287 · 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 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

Citations8
Published2010
Admission routes1
Has abstractyes

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