Land Squandering in the Spanish Medium Sized Cities: The Case of Toledo
Bibliographic record
Abstract
A process of land squandering began in Spain in the mid 1990s until the great crisis of 2008. The intensive production of urban land affected the Spanish medium-sized towns. They were characterized by their compact nature and then they underwent an intense diffuse urbanization. However, in some cases there had been previous examples of urban sprawl. In this article, we study one of them, the unique and historic city of Toledo, in the Centre of the Iberian Peninsula. We will show how the city has experienced the land squandering and has been extensively widespread throughout the hinterland, consisting of their peripheral municipalities. We will also check how Toledo has had a previous internal dispersion process in the last quarter of the 20th Century through the called Ensanche (widening). We will use the urban estate cadaster as a fundamental source for evolutionary and present analysis of the city and its hinterland. The field and bibliographic work complete the methodology. The final conclusion is that there have been remarkable urban increments in Spanish medium-sized cities such as Toledo, in external and peripheral districts, under the logic of speculation and profit, resulting in a disjointed space.
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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 | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".