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Record W2320846816 · doi:10.1111/rsr.12344

Sprachethik im Neuen Testament: Eine Analyse Des Frühchristlichen Diskurses im Matthäusevangelium, Im Jakobusbrief Und im 1. Petrusbrief By SusanneLuther. Wissenschaftliche Untersuchungen zum Neuen Testament II, 394. Tübingen: Mohr Siebeck, 2015. Pp. xii + 572. Paper, Є99.00.

2016· article· de· W2320846816 on OpenAlex
Alicia J. Batten

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReligious Studies Review · 2016
Typearticle
Languagede
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGospelContext (archaeology)New TestamentPhilosophyTheologyClassicsHistory

Abstract

fetched live from OpenAlex

This book is based on a dissertation completed in 2012 in the Faculty of Theology at Friedrich-Alexander-Universität Erlangen-Nürnberg under the direction of Oda Wischmeyer. Luther focuses on the speech ethics of three New Testament texts: the Gospel of Matthew, the Letter of James, and the Letter of 1 Peter. In the first chapter, Luther defines her terms and explains her methodology, which is that of discourse analysis. In subsequent chapters, she explores a variety of topoi related to speech ethics in antiquity. These include what the texts say about anger, the control of the tongue, false and inadequate speech, swearing or oath-taking and being truthful, the integrity of the speaker, as well as the context for uttering rebukes. The analysis is conducted in light of and in comparison with Greco-Roman and Jewish practices. Luther concludes that these particular New Testament writings are quite consistent when it comes to speech ethics. She also includes an appendix in which she discusses the “Law” in James. This is a substantial, interesting, and well researched study. It will be important for scholars working on speech ethics in antiquity, as well as those who focus on James in particular.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.059
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.001
Science and technology studies0.0060.004
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.298
Teacher spread0.264 · 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