Methodology for the characterization of building envelope: Virgen del Carmen Group at Valencia
Bibliographic record
Abstract
This communication is developed within the activities of the project funded by the Valencian Regional Government “The heritage consideration of the social Modern Movement’s public housing. The Virgen del Carmen group, revitalization, and energetic updating (MOMOvivso). In this project, a Modern Movement heritage social housing research is proposed to progress in the preservation of this architecture. Accordingly, a methodological model is made and applied to Valencia’s 614 housing estate, placed in the suburb zone named “El Cabañal”. This residential complex was designed by the architects Fernando M. García-Ordóñez and Juan M. Dexeus Beatty, and it was built between 1958 and 1962. It was developed under the new social housing regulatory framework, which considers different configurations, as well as new constructive techniques, aimed at standardizing the quality of their systems and components and improving the dwelling’s indoor comfort.The present communication is a summary of the analysis process leading to ideation of a comprehensive methodology for the buildings envelope characterization which has been performed under the referred regulatory framework and applied to different types of buildings. For this purpose, three action lines have been proposed: analysis of documentation and contemporary regulations, an inspection report with the visits carried out, and the envelope non-destructive testing.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".