Nero in Jewish and Christian Tradition from the First Century to the Reformation
Bibliographic record
Abstract
Modern readers who come to accounts of Nero in Jewish and Christian tradition are likely to leave bemused if not somewhat bewildered. Those who read the ancient Jewish and Christian beliefs about a Nero who will return from death and damnation as Antichrist will share Augustine's incredulity about such apocalyptic prognostications. Whether tyrant, immoral, persecutor, damned, mold for the coming Antichrist, or the returned Antichrist himself, the medieval, Renaissance, and Reformation treatments of Nero offered audiences inexhaustible resources for reflection on the world around them, and speculation on events to come. From the early church onward, as well as in Jewish tradition, Nero came back to life not once, but again and again in a culturally productive posthumous career. In doing so Nero – historical, legendary, and mythical – became a key figure in articulating the expectations, fears, and ideals of generations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".