Bibliographic record
Abstract
Little is known about the management of secular clerg y assets in modern Spain. The aim of this work is to analyse agrarian contracts and the evolution of land rent in Toledo between 1521 and 1650, from a representative sample of fifty rural properties belonging to the city’s Cathedral. The census was the most frequent contract, although the lease provided the main source of income for the Chapter. Long-term leases were more prevalent during the first half of the sixteenth century, after which short-term leases increased. From 1521-1529 and 1642-1650, farmland rents increased by 28%, while meadow rents fell by 57%. Such a divergence can be explained by the growing profitability of farmland and increases in the cost of livestock activities. In the seventeenth century, agrarian depression in the region and reorientation of Madrid’s grain supplies would have dr iven down the rents of the Cathedral far mlands that were closely located to the seat of the new Crown. However, the takeover of a considerable share of the leases by Chapter canons and civil elites would have altered both rent trends and contractual for mulas. This makes the role of land rent a proxy for economic performance and questions the idea that corporate interests prevailed over the ideal of maximizing income.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".