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Record W2081297077 · doi:10.1163/156851500750118971

ACTS OF ADMONITION AND REBUKE: A SPEECH ACT APPROACH TO 1 CORINTHIANS 6:1-11

2000· article· en· W2081297077 on OpenAlexaff
Dietmar Neufeld

Bibliographic record

VenueBiblical Interpretation · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHonorReputationPrestigeShameContext (archaeology)Variety (cybernetics)Biblical studiesSociologyOrder (exchange)Speech actPsychologyLawClassicsSocial psychologyPolitical scienceTheologyHistoryLinguisticsPhilosophySocial scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This paper attempts a reading of 1 Cor. 6:1-11 primarily from the perspective of speech act theory. The approach, however, will be augmented by insights from a variety of methodological perspectives. The conclusions of social scientists about honor-shame and patron-client relationships will permit conclusions about Paul's loss of institutional status. Determining the language and genre of 1 Corinthians and locating it in the context of exhortation, paraenesis and apologia is also useful. Ascertaining the social structure of the congregation in Corinth, as based on various sociological studies, permits the conclusion that secular models of leadership had infiltrated the congregation. Status-conscious members of the congregation were seeking to enhance their reputation in the community by taking each other to secular courts. Lawsuits were, in effect, social competitions for incremental increases in prestige through the game of challenge and riposte. Collectively, the litigious behaviour of the congregants also represented an aggressive public challenge that damaged Paul's achieved honor as founding father. In order to regain his status in the community and have it publicly recognised, Paul engaged in retaliatory verbal sallies—he rebuked and admonished them.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.999

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)0.0020.000

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 head0.034
GPT teacher head0.259
Teacher spread0.225 · 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 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

Citations3
Published2000
Admission routes1
Has abstractyes

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