Gli scenari della longevita: design for ageing people.
Bibliographic record
Abstract
L’articolo illustra le principali sfide che la nostra società si trova ad affrontare a causa del cambiamento demografico degli ultimi anni, caratterizzato – in Europa ma non solo – da una popolazione sempre più longeva, a cui deve essere garantita la possibilità di un invecchiamento attivo e di una vita indipendente, assistita quando necessario. Gli obiettivi del programma europeo Horizon 2020 indicano la necessità di ripensare gli ambienti di vita in quest’ottica: dallo spazio urbano, ai temi della mobilità e dell’accessibilità, ai servizi, per arrivare allo spazio domestico. Studi e ricerche stanno ridisegnando l’habitat rispetto alle esigenze della prossima generazione, con stili di vita orientati a una migliore qualità, passando attraverso un lavoro interdisciplinare centrato sull’utente e la formazione di progettisti capaci di affrontare questa complessità.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".