Overheating and Hospitals - What do we know?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Heatwaves have well described impacts on human health and wellbeing. Heatwaves also have impacts on hospitals. Patients, visitors, equipment, medication and IT systems have all been affected or compromised during episodes of extreme heat. High indoor temperatures are also of concern for the comfort, efficiency, and occupational health of staff. The Heatwave Plan for England describes actions to prepare for and be taken in the event of a heatwave. Advice for a hospital is so far limited and not evidence based. In this paper, we review what is currently known about the impacts of heatwaves on hospitals and identify several important information gaps. Improved responses to hot weather could improve patient care and staff comfort. If seen as part of a wider approach to sustainability, proper planning will also enable hospitals to reduce health care costs, increase efficiency and meet carbon reduction targets.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it