The DE-Sign Urban Lab: the pilot case of Cosenza city, energy efficiency as a driver for social inclusion, resilience and integrated urban regeneration
Bibliographic record
Abstract
The DE-Sign Research Group is leading an initiative under Italy’s ‘Italy in Class A’ program to promote energy-efficient urban design and regeneration. Focusing on Cosenza (but as a model that can be replicated on a national scale), the project aims to create sustainable, inclusive urban spaces by integrating off-site construction, energy-efficient public housing, and innovative urban planning (NBS). The project involves various stakeholders, including citizens, students, and local organizations, in co-designing a Masterplan for the Vaglio Lise area, transforming it into a mobility hub and a sustainable community. The initiative emphasizes ‘proximity energy’, fostering social inclusion and democratic access to energy. The project’s communication model, ‘Approach, Enable, Act’, ensures broad participation and shared planning, setting a national example. The Urban Laboratory serves as an experimental platform, engaging citizens—especially youth—in co-design processes that link public policy with community needs. The KDZENERGY project, part of this initiative, trains students in energy sustainability and co-design, making them active contributors to their neighborhoods transformation. Keywords: energy-efficiency, urban design, 3A-model, masterplan, urban regeneration
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".