The Eye of the Storm: Extreme Weather Events and Sustainable Urban Forest Management
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
More people live in cities today than ever before. One indicator of a sustainable urban environment is a full canopy cover. Urban residents value trees for the benefits of improved air quality, provision of shade, and aesthetic purposes, among others. Although urban trees are greatly valued, they are up against environmental challenges. Global climate change threatens urban forests because of the accompanying increase in frequency and intensity of extreme weather events. Hurricanes, intense precipitation, windstorms, and ice storms, are included. In Halifax (2003) Hurricane Juan negatively affected the urban forest canopy and some areas have not fully recovered. Similarly, in Vancouver’s Stanley Park (2006 & 2007) an extreme windstorm hit the urban canopy. How can urban forest planners adapt the urban forest to become more resilient in the face of such events?
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.004 |
| 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