A ‘FILTER’ BUILDING IN THE CABANYAL QUARTER OF VALENCIA
Bibliographic record
Abstract
Many European cities are often home to degraded and/or abandoned areas or entire quarters that are, despite their state, characterized by a high level of cultural interest as historical memory of the city itself. It is therefore of great interest to regenerate these areas to restore their original value. The case study analysed in this research regards El Cabanyal in Valencia, Spain. This neighbourhood is situated between the historical city and the Malvarrosa Beach and was established and developed starting with the maritime activities carried out in the city. Over time, however, the area has slowly lost its original function, displaying increasingly evident degradation. In fact, the last twenty years have shown that the state of conservation of numerous dwellings has become increasingly precarious. The research proposes a ‘filter’ type of housing that would be used to rebuild an abandoned plot located in this neighbourhood. The objective of this architectural project is twofold: regenerate an abandoned area and create a public space that can house services for residents in the neighbourhood and beyond. The building designed acts as a ‘filter’ and is designed to allow people to pass through. Passage through the building was conceived as an ‘expository path’, where a permanent exhibit related to the historical photos and documentation of El Cabanyal can be presented. The façade is characterized by the presence of microperforated sheet metal that turns the building into a recognizable ‘presence’ in the evening. The building is ‘transformed’ into a large lantern that lights up and attracts interest towards a quarter that has for too long been abandoned.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".