Knowledge and dating for preservation of historical and cultural significance of the building: the case study of the medieval Castello quarter in Cagliari (XVII-XIX century)
Bibliographic record
Abstract
The present study illustrates an interdisciplinary methodology developed with the specific purpose of preserving historical and cultural authenticity and significance of the urban building. The case study is Castello, one of the four ancient quarters of Cagliari, founded in medieval times and intensively modified between XVII and XIX century. Despite the substantial transformation process occurred to buildings, former foundations and structures have often been preserved during centuries, and still conserved and visible. Moreover, the advanced state of decay which affects many edifices allowed stratigraphic investigations and a deep study of the masonries, both for materials and techniques. Crossing data belonging from archival sources with the on-site surveys it has been possible to identify chronological benchmarks. This result is very useful for dating other buildings and consequently to promote their conservation. To carry out the research, a multidisciplinary team was composed, with experts in preservation, history and petrography.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".