A medium-rise 1970s maternity hospital in the east of England: Resilience and adaptation to climate change
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
The late 1970s design for the Rosie Maternity Hospital on the Addenbrookes campus in Cambridge is a recurring type across the UK National Health Service, a framed three-storey courtyard configuration in brick masonry. It was selected as a case study project for the ‘Design and Delivery of Robust Hospitals in a Changing Climate’ project, pursuing the methodology developed for that research. Temperature data were collected in representative spaces within the hospital, over a two-year period. These revealed overheating in mild conditions relative to an observed 24℃ threshold for sleep but concealed within the customary 28℃ threshold marking the upper limit of acceptable conditions. The building was modelled using current climate data to predict 2010 conditions. The model was then calibrated against the observed 2010 data and used to predict the likely internal temperatures in current and 2030s. The results indicated an increase in peak temperatures. Four adaptive intervention schemes were subsequently developed: an ‘enlightened’ industry standard ‘Passivhaus’-type option providing superinsulation, sealed glazing and heat recovery; a lower technology-based scheme promoting natural cross-ventilation by providing greater opening glazing area, opening up the plan, sunshading and additional insulation; an enhanced natural ventilation scheme glazing over the courtyards to provide supply air winter gardens, and an advanced natural ventilation option pursuing passive downdraught cooling. All four schemes were modelled using the projected current and 2030s weather data and their performance was compared. The schemes were fully costed to yield relative ‘value for money’ guidance to National Health Service Trusts. Practical application: The Heat wave Plan for England 2014 warns National Health Service (NHS) organisations of the risks to patients, particularly the very young, the elderly and the seriously ill, from extreme summer heat events. 1 The Chief Medical Officer in her introduction challenges each NHS locality to plan well in advance of hot spells, as appropriate. This paper describes the likely extent of overheating risk and a series of potential adaptation plans for a recurring NHS hospital building type. As a consequence, estates and facilities decision makers in NHS organisations and Public Health England officers charged with the mitigation of risk resulting from overheating of wards and clinical spaces will benefit directly in their necessary decision making from the findings. Policy makers in the Department of Health and policy advisors in the NHS Sustainable Development Unit and the Climate Change Committee Adaptation Sub-Committee will benefit from the evidence presented in advising the NHS and Department of Health.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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