Credit i morositat a la Catalunya del segle XIV. El cas de la baronia de Llagostera
Bibliographic record
Abstract
This doctoral thesis analyses the private credit available to the popular classes during the fourteenth century. At the same time, it focuses on the institutional mechanisms granted by public powers in order to sanction this credit, but also to pursue non-payment. The case study chosen is the barony of Llagostera, in north-eastern Catalonia. The main data used for the investigation is drawn from the notarial series preserved for the territory, as well as from the court records of the local jurisdictional court. In the first instance, primary sources are explored, placing special emphasis on court records. In a second block we present the main financial products available to the population of the territory, namely the ‘comandes de bestiar’ (cattle-leasing agreements), the financed purchases of cloth, and the so-called ‘crèdit censal’ (i.e. the local rentes viagères). Finally, in the third block of the thesis we present the coercive mechanisms by which jurisdictional lordships provided legal security to the financial market
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".