More than Bricks and Mortar: The Right to Healthy Housing
Bibliographic record
Abstract
More than one-third of the world’s population has experienced some form of lockdown during the COVID 19 pandemic. With so many people confined to their residences, homes are taking on new roles as classrooms, business places, meeting spaces, recreational areas, and in some cases, quarantine or hospital rooms. The pandemic is highlighting the importance of housing as a place of safety and health. The physical environment impacts every aspect of our health and well-being, either positively or negatively. Improved housing conditions can save lives, prevent disease, increase quality of life, reduce poverty, help mitigate climate change, and contribute to the achievement of Sustainable Development Goals. This paper seeks to reexamine the links between housing and health from a population health perspective. It uses evidence and case studies to outline issues and identify some best practices from around the world. It concludes with recommendations for improving health and quality of life through the lens of the physical environment in which we spend most of our time.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".