Summer outdoor thermal risk area mapping on a university campus in Auckland, New Zealand
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
Outdoor thermal risks in urban areas are increasingly critical due to climate change and urbanization. This study identifies high-risk areas at Auckland University of Technology, New Zealand, using a multi-layered approach integrating hazard, exposure, and vulnerability. Locations with Physiologically Equivalent Temperature (PET) exceeding 23°C were analyzed alongside user density and survey-based vulnerability assessments, pinpointing two high-risk zones. Future projections for 2050 and 2080 (RCP 4.5 and RCP 8.5 scenarios) indicate rising PET levels, amplifying thermal discomfort. Mitigation strategies, including green walls and tree planting, demonstrated PET reductions of 2°C and 3°C, respectively, under current conditions. These findings underscore the critical role of greenery in enhancing outdoor thermal comfort and resilience. The study’s replicable methodology offers urban planners a practical framework for addressing thermal risks and adapting outdoor spaces to climate change impacts, fostering urban livability.
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 | 0.001 | 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) | 0.001 | 0.001 |
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