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Record W2277656468

Editing the Bible: Assessing the Task, Past and Present, J.S. Kloppenborg & J.H. Newman (Eds.) : book review

2013· article· en· W2277656468 on OpenAlexaboutno aff
Ernst R. Wendland

Bibliographic record

VenueJournal of Northwest Semitic languages · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveHebrew BibleHebrewComposition (language)Variety (cybernetics)Field (mathematics)CriticismSociologyTextual criticismParagraphSalientArabicLiteratureBiblical studiesClassicsPhilosophyEpistemologyHistoryTheologyLinguisticsPolitical scienceLawArtComputer science
DOInot available

Abstract

fetched live from OpenAlex

John Kloppenborg is Professor in the Department for the Study of Religion at the University of Toronto and Judith Newman is Associate Professor of Old Testament/Hebrew Bible at Emmanuel College, University of Toronto. In this volume of essays they include a select group of scholarly contributors who offer a variety of considered opinions on various issues that concern the editing of the Hebrew and Greek Scriptures (LXX and NT). Many of the collected ideas and insights offered, which derive from a 2007 Conference on Editorial Problems (University of Toronto), are innovative in the fields of textual criticism and canon composition, and several proposals may also be rather controversial in their claims and implications. However, all of the essays are thought-provoking and helpful for enabling one to better understand some of the salient questions, complexities, and difficulties that confront those who research and write about these subjects. There may be those in the field of biblical studies who tend to take such matters for granted, but that is not a constructive policy if one wishes to delve more deeply into the composition, transmission, and publication of the very Scripture texts that one desires to better understand, analyze, and/or discourse about.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.816
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 studies0.0010.000
Scholarly communication0.0010.001
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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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