Questioning the Feasibility of the Major Synoptic Hypotheses: Scribal Memory as the Key to the Oral–Written Interface
Bibliographic record
Abstract
Instead of blurring the oral and the literary media in antiquity (R. Bultmann and B. Gerhardsson) or dividing them with unsatisfying principles (J.D.G. Dunn), this article follows recent scholarship on orality to explore the mechanical operation of ancient scribal memory as the oral-written interface. In so doing, I argue that the agreement of order between the Synoptic Gospels is characteristic of memory-based utilizations of written texts and does not necessarily indicate the scribes’ visual contact with those texts. It is, rather, the very high degree of verbal agreement that indicates Matthew’s frequent visual contact with Q 10–11 and 12–13 throughout the gospel, even when following Mark’s narrative sequence by memory. This approach explains the infrequent micro-conflations on the Two Document Hypothesis (2DH) with a more mechanically probable procedure, and so strengthens the argument that the 2DH is more feasible than the Two Gospel Hypothesis and the Farrer-Goulder Hypothesis.
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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 | 0.007 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".