Lament for a network? Cities and networked climate governance in Canada
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
There is substantial evidence that the global governance of climate change must pass through cities. While formal networks offer cities a means of generating effects that extend beyond their own borders, it remains unclear as to whether such networks can address collective action barriers and implementation gaps. City-networks, after all, are limited in their efforts to govern and must rely on information, service provision, and soft forms of coercion if they are to steer their members past these considerable challenges. This article contributes to extant efforts to assess their ability to do so by addressing two gaps in the literature. First, the article focuses on the Partners for Climate Protection (PCP), a city-network that has received little attention to date. Second, through analysis of two Canadian cities (Toronto and Winnipeg), the article provides an empirical illustration of the limitations of network authority and influence, and offers some thoughts on what this means for networked urban climate governance in Canada and beyond.
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