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Record W4313059462 · doi:10.54395/jot-6cpw9

Conditionals in the New Testament: Interpretation and Translation

2022· article· en· W4313059462 on OpenAlexaff
Steve Nicolle

Bibliographic record

VenueJournal of Translation · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsConjunction (astronomy)Interpretation (philosophy)LinguisticsNew TestamentConditionalityRange (aeronautics)Computer sciencePhilosophyNatural language processingMathematicsPoliticsPolitical scienceTheologyPhysicsEngineeringLaw

Abstract

fetched live from OpenAlex

There are over six hundred conditional sentences in the Greek New Testament, defined as sentences consisting of two clauses, one of which contains the conjunction εἰ or ἐάν and expresses the condition under which the other clause holds. The conditions which εἰ and ἐάν introduce encompass a wide range of meanings, which are unlikely to be expressed by any single conjunction, particle, or construction in another language. Understanding the range of meanings associated with Greek conditional constructions is therefore an essential first step in translating them appropriately. This paper describes the various constructions that are used in New Testament Greek to express conditionality (following the traditional classification of conditionals), demonstrating that the form of each construction does not entirely determine how it should be interpreted. The paper also looks at constructions containing εἰ or ἐάν that express specific meanings, which may be more or less conditional in nature.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.010
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.050
GPT teacher head0.266
Teacher spread0.216 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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