Livorno citta d’acqua e di cultura. Riqualificazione e recuperodell’area del Forte San Pietro d’Alcantara e del DepuratoreRivellino.
Bibliographic record
Abstract
The project addresses the topic of reclassifying an urban area of the city of Livorno caracterised by the presence of the Forte San Pietro and the Rivellino di San Marco built at the end of the 17th century to complete Livorno’s northern defensive front protecting the residential quarter of La Venezia. In particular, Forte San Pietro, constructed on the orders of Governor Dal Borro according to the designs of the architect, Baldi, surrounded on one side by the sea and on the other by the Fosso Reale, it was the site of the public slaughterhouse (which was in operation until 1996) from 1889 and this saved it from demolition in the following years, ensuring links with the nearby San Marco’s station and free land for the city’s expansion. This transformed the Rivellino, which was the object of a residential development plan in the early 1800s and the location of the city’s sewage treatment plant. The project area is located in the northwest of the municipal region of Livorno and is configured as a passage area, in which the city environment abruptly changes from the industrial port to the urban and where traces of the ancient fortifications are evident (in addition to Forte San Pietro there are the constituent parts of the Lorenesi city walls) and where a system of canals and cellars is testimony to this particular area of the city’s characteristic special relationship with water. The study was initially focused on the analysis (historical, functional and regulatory) of the regional context so that the characteristic elements of the area being studied were clear and this enabled the objectives to be pursued in the masterplan to be identified.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".