Caring for People and Territories: Brief Historical Review of the Intersectoral Social Innovation Experience of Trieste and Its Habitat Micro-Area Program
Bibliographic record
Abstract
This brief historical review presents the pioneering work of Franco Basaglia and Franco Rotelli that revolutionized community care in the 1970s in Trieste, Italy. Based on archival records of Micro-areas in Trieste at the social cooperative La Collina, this article addresses the chronology of key moments and components of that innovative community perspective. Trieste’s mental health service, considered one of the best in the world, is a reference for deinstitutionalized care in social housing within territories that contributes to healing. Trieste has demonstrated that by adopting a “social enterprise perspective,” it reaches targets of sustainable, intersectoral, local networks with responsiveness, agility, and efficiency. The program has demonstrated that it can create substantial gains in terms of inclusion, empowerment, and social economy by working from a rights-based, person-centred approach, thus contributing to social justice
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".