FROM SUPERELEVATION TO REFURBISHMENT THE CASE OF THE ATER QUARTER IN VIA GRAMSCI, ROVIGO (1967-1971)
Bibliographic record
Abstract
Refurbishment of existing buildings, in order to reduce environmental impact, both as far as land take and CO2 emissions are concerned, is one of the priorities of international research. Quantitatively, 1950-1990- built residential housing accounts for the highest energy consumption, since its low-quality technology has caused its swift material and performance-related (not to mention social and urban) decay. The paper presents the first results of the research, concerning methodologies and qualitative analyses, whose objects have been twofold: identifying the criteria and guidelines of intervention when adding floors, paying particular attention to construction related and structural aspects, and roughly testing such criteria through one case study, namely a 1970s ATER public residential housing building. The analysis of the building and its modelling through ad hoc software (Revit and Midas) has allowed both to define innovative construction-related solutions in order to add floors, and to determine a first evaluation of its feasibility in a digital environment, analysing the building before and after the intervention – besides while work was in progress – underlining the potentialities and drawbacks adding floors implies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".