De la penuria a la opulencia: las finanzas del Concejo de Huéscar en la primera mitad del XVI
Bibliographic record
Abstract
The town council archival data in Huéscar about its real estate let us elucidate how the property came from poverty to opulence between the end of the 15`h century and the middle of the 16`h. In this evolution, we can distinguish three steps. The first, dates the first quarter of the 16`h century, characterised for the inadequacy of goods to face the expenses of the council and the press of the feudal sirs as well (firstly the «condestable» of Navarra and later the duke of Alba) to get a better income. The second (1526-36) called legislation period, gives the basis of a reorganized property making a wide local regulations. The third (1537-50), the town reaches to organize the business of its real assets in a coherent way, enjoying rearranged goods which give surplus in most of the events.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".