«Que antiquitis vocabatur delli hebrei». Storia e topografia della presenza ebraica alla fiera di Farfa (secoli XVI-XVII)
Bibliographic record
Abstract
Among the dates of the dense fair calendar of the Papal States in the early modern period, those of the two fairs held in March and September around the Abbey of Santa Maria di Farfa, in the heart of Sabina, stood out. Around this abbey, perhaps uniquely in the Italian context, a true fair district began to take shape starting from the early sixteenth century. Its shops were rented out by the Benedictine monks to merchants who flocked to Farfa from across the peninsula and beyond. This article aims to emphasize how the presence of Jews at the Farfa fair dates to its very origins and accompanied its development throughout the sixteenth century. This is evidenced by the existence of a street and a square bearing their name as early as the 1530s. Furthermore, it investigates whether and how this stable presence at the Farfa fair changed during the second half of the century amidst the growing coercive measures enacted by the Papal authority against Jews. Finally, it examines how Jewish participation in the fair progressively diminished during the seventeenth and eighteenth centuries, disappearing first from the toponymy of the fair district and eventually from the district itself.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".