Redrafting the Architecture of Daniel Traditions in the Hebrew Scriptures and Dead Sea Scrolls
Bibliographic record
Abstract
Abstract For all the qualities that make the book of Daniel an odd fit in the Hebrew Bible—it is a bilingual hybrid of Aramaic and Hebrew traditions, has demonstrable compositional roots in the Second Temple period, and is attributed to a character of more recent ancestral memory—the book fits exceptionally well within a broader set of now-known Aramaic writings in the Dead Sea Scrolls. The texts and contexts of Daniel in view of these new discoveries, however, demand that we rethink the formation of Daniel traditions and transformations of Daniel as an emerging authoritative figure in ancient Jewish scribal culture. In this article, I apply a material philological approach to 4QDaniela–b (4Q112–4Q113), two Daniel manuscripts from Qumran that preserve the linguistic juncture between Dan. 7:28 and 8:1. I argue that the varied uses of physical space between these sections indicates a scribal understanding not necessarily of a unified book but of an early collection of Daniel traditions. In view of this possibility, the later Hebrew materials of Daniel 8–12 are then re-characterized as our earliest demonstrable Danielic pseudepigraphon in view of their documented redactional relationship to the foregoing Aramaic chapters. This, in turn, provides a fresh way of approaching the so-called Aramaic Pseudo-Daniel (4Q243–4Q245) fragments among the Qumran Aramaic texts simply as Danielic traditions in their own integrity.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".