New Community Spaces: Regional Governance in the Public Interest in the Greater Toronto Area
Bibliographic record
Abstract
Editor’s Note: A two-part podcast featuring a discussion by the authors of the Mini-symposium on Urban Governance can be found at http://journals.sagepub.com/page/uar/podcasts This article examines community-driven forms of institutionalized collaboration at the regional scale. We advance a generic and scalable framework that captures not only participants and incentives but also the structures and processes that shape urban policy objectives. This framework allows us to track implementation and adaptation, and to assess institutional viability, legitimacy, and performance over time. We find that the Greater Toronto CivicAction Alliance represents a durable and high-performing place-based alliance of social, economic, and political actors dedicated to regional development strategies that include growth and equity goals. Yet the CivicAction Alliance is not a governing coalition. Elite dominance of the policy agenda, value-based tensions, and weak linkages between elected and civic leaders indicate that governance challenges with important democratic implications remain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".