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.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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".