House Retrofits: Impacts of Sustainability Measures on Health
Bibliographic record
Abstract
The UK faces an estimated demand for 345,000 new homes annually.Retrofitting the existing housing stock presents significant opportunities to mitigate housing shortages while addressing sustainability challenges.However, current retrofit initiatives have predominantly prioritised energy efficiency while neglecting health implications from retrofits.This paper examines the relationship between sustainable housing retrofits and health outcomes, exploring strategies to address these interrelated challenges.A literature review identifies links between health considerations in retrofits through the application of lean principles, particularly from a user value generation perspective.The paper highlights synergies between health, lifestyle, and technology factors and Lean.The findings indicate the need for robust data on the health impacts of housing retrofits, as well as participatory approaches that enable the prioritisation of needs of occupants.The evidence highlights the need for empirical research to develop solutions that integrate health considerations into retrofit policy and practice, ensuring that retrofits deliver benefits for both occupants' well-being and environmental sustainability.
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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 | 0.000 | 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 | 0.000 |
| 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 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".