Bibliographic record
Abstract
Nowadays, the facilities of large-scale infrastructures are subject to unprecedented preservation challenges. The protection of these buildings needs an innovative approach. This will be possible through the establishment of new public policies which acknowledge them within the 20th-century cultural heritage. In this field, the Italian motorway service chain was a unique experience in Europe. It was an emblem of a new post-war national identity as well as a symbol of architectural and engineering experimentation. These buildings (1958-1972) are currently threatened by invasive interventions caused by the non-recognition of their cultural value. The current study by the author is comparing, for the first time, the original features of the motorway restaurants with the current situation. The majority of the buildings have been demolished or significantly altered. The paper examines three case studies of great interest: the rest-stops in Novara, Soave, and Lainate. The essay highlights the link between recognition of the cultural value and subsequent operational practices, and also discusses the positions of the stakeholders. Moreover, the essay provides new insights into the stance of public policies and preservation procedures. The connection between knowledge and enhancement of these buildings is the key point of the research. Its final aim is to give theoretical tools and methods to guide future interventions on such heritage.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.008 |
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".