On The Problems of Reconstructing Pre-Hellenistic Israelite (Palestinian) History
Bibliographic record
Abstract
The biblical picture of ancient Israel does not fit in, but is contrary to any image of ancient Palestinian society that can be established on the basis of ancient sources from Palestine or referring to Palestine. There is no way this image in the Bible can be reconciled with the historical past of the region. And if this is the case, we should give up the hope that we can reconstruct pre-Hellenistic history on the basis of the Old Testament. It is simply an invented history with only a few referents to things that really happened or existed. From an historian’s point of view, ancient Israel is a monstrous creature. It is something sprung out of the fantasy of biblical historiographers and their modern paraphrasers, i.e., the historical-critical scholars of the last two hundred years.
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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 | 0.013 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.007 | 0.025 |
| Scholarly communication | 0.018 | 0.021 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".