Ester, a Missing Clasp, and Jewish Pawnbroking Networks in Renaissance Prague
Bibliographic record
Abstract
Abstract In 1577, a petty pawnbroker named Ester lost a clasp belonging to a Prague noblewoman, Lady Juliana the Fifth. Having been traded repeatedly between anonymous pawnbrokers, the clasp was eventually tracked down in the Polish city of Poznań, by which time Ester had already fled Prague and taken refuge in Cracow. In this essay, I use the subsequent criminal court case to explore this illuminating episode in the history of the city's Jewish Quarter. Taking place in the late Renaissance, during what has often been referred to as the Jewish “Golden Age,” I argue that this dramatic event provides access to the realities of an era often characterized as harmonious. I position pawnbroking as an industry that invited intimate and regular cross-confessional contact, and one that therefore offers up new opportunities to consider the nature of coexistence. By following the movement of both Ester and the pawned clasp from Prague to Poland, I also show how attention to pawnbroking can illuminate a constellation of transregional connections that stretched from Bohemia to the Polish-Lithuanian Commonwealth to its east, revealing the otherwise unrecorded ways in which Prague's Jews were connected to the Ashkenazi diaspora.
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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 | 0.001 | 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 | 0.008 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".