Sustainability and Wellbeing in Healthcare Facilities. An Investigation Inside a Historic Hospital
Bibliographic record
Abstract
Sustainability, health and well-being are strictly connected.The WHO has recently highlighted the importance of designing, management, organization and also retrofitting and refurbishment interventions for health care facilities based on climate-resilient and environmentally sustainable health criterion.In this study we propose a practical method based on the combination of physical-real and virtual information, i.e. the integration between continuous monitoring system and transient simulations, for the assessment of microclimatic and ventilation parameters, user influx/presence and behaviour, real operation (on demand) of plants and control/regulation system adjustment.The method is based on a system thinking that assures people and environment health, safety, quality of services and management, reducing energy and facility costs.Findings provided the fundamentals for training health workers and people/patients, aiming at conscious interaction for health and wellbeing protection, but also environmental sustainability and management quality.This is particularly important for healthcare environments housed in historic buildings, such as the one studied.
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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 | 0.002 |
| 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 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.000 |
| 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".