To Create, to Separate or to Construct: An Alternative for a Recent Proposal as to the Interpretation of ברא in Gen 1:1–2:4a
Bibliographic record
Abstract
Recently, Ellen van Wolde has proposed that the Hebrew verb ברא in Genesis 1 should be understood as ‘(to) separate.’ She also suggests that this is a new proposal. In this article, we maintain: (1) The idea has roots in nineteenth century scholarship; (2) the proposal is week from an etymological perspective; (3) an understanding of ברא as ‘(to) separate’ does not take into account that ברא is not used with prepositions; (4) as far as we can see— and contrary to Van Wolde’s statement— an active participle of the verb ברא meaning ‘creator’ does occur in Biblical Hebrew; (5) the ‘sea-monsters’ are not separated from the other marine animals; (6) a survey of parallelisms and word-pairs yields that the verb ברא was part of a semantic field characterized by ‘building; constructing; making;’ (7) there is no phrase or sentence in the HB in which ברא must be translated as ‘(to) separate’. Finally we offer the alternative to render ברא with ‘(to) construct’ as means to indicate that Genesis 1 praised the divine construction of cosmos and life, while at the same time avoided an anthropomorphism that the use of the verb בנה might have raised.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".