Southern hospitality. In the Messina Strait Area, and throughout Southern Italy, widespread welcoming of migrants brings multiple benefits
Bibliographic record
Abstract
In Calabria and Sicily, as well as throughout Southern Italy, widespread consumption and degradation of the territory, in striking contrast to enduring landscape excellences, result in the huge dimensions of empty or unused housing heritage, at the top even compared to the sensational levels reached by this phenomenon on the national scale. If in Italy about a quarter of the housing stock is in fact empty, this share reaches 30% in Sicily and exceeds 40% in Calabria. This makes paradoxical not only the existence of local housing problems, but also the fact that migrants cannot find a home and often have to lie, in sub-human conditions, in improvised and precarious ‘welcome’ centres. Therefore, even more than in the rest of the country, in the Italian South, Sicily, Calabria and especially in the Messina Strait Area it appears urgent to make empty and often abandoned housing stock – and building heritage in general – available for the priceless human and social capital represented by the migrants. Those of them who intend to stay in these areas could actually contribute to local self-sustainable development actions promoted, today, by community planning practices together with the ordinary landscape and spatial planning instruments of the two Regions. This article explores such topics and illustrates some actions, also ‘grassroots’, through which we are trying to combine heritage reuse, social and cultural integration, and reterritorialization.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 0.006 |
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".