La infàmia de tenir sang jueva a la Catalunya moderna: ecos del Reial Consell i de la literatura jurídica
Bibliographic record
Abstract
El modest propòsit de la nostra participació en aquesta miscel·lània és posar de relleu dues importants resolucions adoptades al Reial Consell i Audiència de Catalunya a principi de la dècada de 1580, en relació amb discriminacions per motius de genealogia i de pretesa condició o sang jueva. Dóna fe de la rellevància de tals resolucions el fet que fossin comentades amb deteniment per dos autors de literatura jurídica cabdal com Lluís de Peguera (1540-1610) i Joan Pere Fontanella (1575-1649). Per bé que tinguessin trajectòries professionals molt dissímils –el primer seria ministre de la monarquia al Principat i el segon advocat de grans corporacions i particulars–, ambdós contribuirien a difondre sentències de les principals jurisdiccions del país i s’esplaiarien sobre llurs fonaments legals i doctrinals. És a dir, cultivarien, cadascú a la seva manera, el gènere ‘decisionista’ tan en boga a l’Europa moderna del ius commune tardà.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".