Bibliographic record
Abstract
Nowadays the DSS (Dead Sea Scrolls) seem to have cast a spell on our attention when it comes to understanding the background of the NT while the study of the Jewish Scriptures that were available in Greek, which we now refer collectively to as the LXX, remain largely abandoned and ignored. How much more can be discovered about the imprint of the Greek Jewish Scriptures on the NT? After examining the external evidence for the existence of a Hebrew canon in the first century and the use of the Jewish Scriptures by the NT writers, the author argues that the Greek Jewish Scriptures were read and interpreted as Scripture in the early church at the time when the books that would later become the NT canon were written. The citations of the Greek Jewish Scriptures in Heb 12:26; Matt 24:30 and 1 Cor 2:16 are examined in order to illustrate the way in which the theology expressed in the NT was influenced by the Greek Jewish Scriptures.
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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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.010 | 0.052 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".