Heat, smoke, and urban health: cooling and cleaner air centres as a tool for adaptation in a Canadian urban region
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
Urban climate change impacts, particularly heatwaves and wildfire smoke, are becoming increasingly severe, prompting cities like those in the Greater Vancouver area of Western Canada to develop adaptation measures that address rising temperatures and deteriorating air quality. One such intervention is the establishment of cooling and cleaner air centres, which offer temporary refuge during extreme weather events. However, their implementation to date has often been reactive, fragmented, and lacking in sustained coordination. To better understand how these centres are planned and deployed, we conducted a systematic review of academic and grey literature and conducted interviews with 16 public sector and civil society professionals involved in their implementation in the Greater Vancouver area. The study reveals that while these centres are increasingly seen as vital infrastructure, their effectiveness is limited by governance challenges, under-resourcing, and inconsistent coordination across sectors. Our findings underscore the need for stronger institutional coordination, proactive planning, and equity-oriented design. Motivated by the priorities of regional government partners, this research represents a transdisciplinary effort to generate actionable insights that can inform more inclusive and strategic approaches to urban climate adaptation.
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 | 0.000 |
| 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