Bibliographic record
Abstract
Abstract This essay traces the far‐reaching legend of Maria/Miriam of Bethezuba, sometimes called Mary, Marie, or Marion, a starving Jewish woman who (according to Flavius Josephus's The Jewish War ) ate her own baby during the 70 CE Roman Siege of Jerusalem. This episode of maternal infanticide and cannibalism under occupation is the culmination of Biblical curses and prophecies, a complicated reference to the Eucharist, and an emblem of Jewish (women's) suffering and culpability across time. It is also a key to Jewish‐Christian arguments about futurity and the writing of history. Scholarly developments in the past decade prompt a new look at this episode. These include research on Greek, Latin, Hebrew, Arabic and other translations of Josephus that demonstrate complex relationships among Jewish, Christian, and Muslim readerships and modern English translations of key Hebrew, Arabic, Ge'ez (Ethiopic), and Middle English versions of the story. This essay provides a brief literary and theological history of Maria's story informed by the new scholarship, with particular attention to medieval Jewish‐Christian relations, and suggests additional directions for research.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".