Evidence-informed recommendations for municipal supports of people experiencing homelessness during extreme weather events
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
Municipalities are increasingly faced with a growing climate justice issue: the intersection of rising housing vulnerabilities (e.g. increased rates of homelessness) and climate hazards (e.g. extreme weather events), which disproportionately impact people experiencing homelessness (PEH). Despite the strong role that municipalities have to play in supporting PEH during extreme weather events, municipal interventions remain poorly researched. To investigate such interventions, this paper reports on a broad policy scan of 40 Canadian and international municipalities and a peer-reviewed and practice-based literature review of interventions to support PEH during three recurring extreme weather events: extreme heat, extreme cold, or poor air quality associated with wildfire smoke. Findings show that interventions should focus on preventive responses, such as housing strategies, and also include adaptive crisis management strategies such as the provision of accessible and inclusive shelter accommodations and warming or cooling spaces; communication strategies; outreach services; and the provision of resources. This paper shares key recommendations surrounding the implementation and development of these strategies. Recommendations include factors to consider within emergency sheltering spaces, considerations for communication methods and outreach services, and processes significant to the development of contextually relevant and responsive supports, such as the usage of participatory processes with PEH when developing interventions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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