Conditionals in the New Testament: Interpretation and Translation
Why this work is in the frame
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Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it