Els avalots contra els jueus de Besalú durant el 1391 i les seves repercussions socials
Bibliographic record
Abstract
espanolStudies of the assaults on Jewish quarters in the Crown of Aragon in the year 1391 feature prominently in Jaume Riera’s extensive body of work. A singular case to study is that of the Jewish community of Besalu. Notarial documents point to an air of tension prior to the Jews being attacked. The arrival from the north of Armagnac companies and conflicts between factions caused alarming social instability, a tense atmosphere that was the backdrop to the attack on Besalu’s Jewish quarter. Some Jews had to take refuge outside the town, in the fortified enclosures of certain Christians with whom they had previously had economic and ommercial dealings. catalaDins l’extensa bibliografia produida per Jaume Riera, destaquen els estudis sobre els avalots contra els calls jueus de la Corona d’Arago de l’any 1391. Un cas singular a estudiar es el de la comunitat jueva de Besalu. La documentacio notarial permet veure l’ambient de crispacio anterior als atacs contra els jueus. L’entrada des del nord de les companyies d’Armanyac o les lluites entre bandositats propiciaren una alarmant inestabilitat social. L’assalt al call jueu de Besalu s’emmarca dins aquest clima enrarit. Alguns jueus es van veure obligats a refugiar-se fora de la vila, en recintes fortificats de determinats cristians, amb els quals ja mantenien relacions de tipus economic i comercial amb anterioritat.
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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 | 0.002 |
| 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 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".