Planning and urban growth. What to do with urbanized vacant areas in the land of Valencia?
Bibliographic record
Abstract
In 1996, an expanding real estate property cycle of unusual magnitudes began in the Kingdom of Spain, to abruptly cease in 2007.Its economic, social and political logic has been to this day widely studied, but instead the contribution of urban planning as a driver and impeller of proposals of unviable urban overgrowth has received scant attention.In this paper, we shall consider the role played by urban planning with disparate proposals in the so-called construction bubble.By studying relevant case studies, we will evidence the impact that of over planning has had on the environment and natural resources.In 1994, it was approved for the Community of Valencia, a ground-breaking law, that allowed real estate agents to develop areas in which they had not any property even against the opinion and the will of the landowners.The facilities given to developers, in a context of abuse and corruption, have taken their toll after the bursting of the housing bubble.Our goal is to analyse the effects and consequences of these actions: the destruction of the landscape, the consumption of natural resources beyond their capacity for regeneration, the development of areas that today remain vacant, with special emphasis on the latter.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".