Funcionamiento de la aduana de el Puerto de Santa María a través de las instrucciones ducales durante el siglo XVI
Bibliographic record
Abstract
The ducal house of Medinaceli was not directly in charge of the exploitation of its assets in its different estates, but rather had a system of farming out revenue collection managed by officials appointed and controlled by its house. This administration, collection and revenue of income and taxes in El Puerto de Santa María was carried out through the Customs House and Accounts Office, whose head was the recipient of income, under whose authority were the clerk of income, the treasurer of the Customs House and the tithe collector, among other officials. Despite the distance between El Puerto and Medinaceli, where the various dukes usually had their residence, being interested in the increase of their assets, they maintained exhaustive control with the officials of their Customs House, issuing a series of binding Instructions and Ordinances for the operation and administration of their income. In these mandates they develop a series of rules and obligations in detail, on the procedure of each and every one of their actions in those matters that contributed to the increase of their treasury, such as the collection of taxes, farming out revenue collection, court fines, sale of salt and wine, rental of donations, etc. All Customs House officials were obliged to maintain a continuous relationship with the Contaduría Mayor, located in Medinaceli, to which they would report all the operated movements. In case of malpractice or disobedience they would be punished with monetary penalties on their salary, and even the loss of their position.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".