History in the Eye of the Beholder? Social Location and Allegations of Racial/Colonial Biases in Reconstructions of Sennacherib’s Invasion of Judah
Bibliographic record
Abstract
Sennacherib’s third campaign is one of the more thoroughly inves- tigated events that intersects with biblical history. The fact that there are three biblical narratives (2 Kgs 18–19; Isa 36–37; 2 Chr 32) concerned with the Assyrian campaign against Judah under- scores its obvious importance to the biblical writers. The existence of multiple copies of Assyrian annals that refer to these events, as well as the “Lachish reliefs” pictorially depicting the Assyrian siege and sacking of the Judahite city during the same campaign, likely explains why the events have captured the imagination of biblical scholars and historians alike.1 Some of the chief debates concerning
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".