Scaling up local climate action: A survey of climate policy priorities in the Vancouver Island and Coastal Communities 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
Regional planning can help functionally-connected communities share expertise and the costs of climate action and amplify collective concerns and needs to upper-level governments. Understanding communities’ climate impacts, policies and barriers to action is foundational to the development of regional-scale climate planning. In support of a nascent climate strategy in the Vancouver Island and Coastal Communities region of British Columbia, our study employs a web-based survey of local government officials (n=106) to identify the existing climate impacts, policy priorities, barriers, and opportunities that guide climate policy-making in the region, including the impacts of the COVID-19 pandemic. We find that nearly all communities have experienced climate-related impacts and have implemented a variety of climate policies. However, local governments face substantial barriers—including a lack of financial resources, authority and staffing capacity—to pursue climate action and planning.
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 | 0.000 | 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