Achievements and Opportunities in Initiating Governance for Urban Sustainability
Bibliographic record
Abstract
The concept of urban sustainability governance has developed as an institutional guiding concept to holistically address the vitality of cities under a long-term perspective and is based on the collaborative efforts of government, administration, business, science, and the civil society. Yet, the initiation and implementation of this guiding concept faces a variety of barriers, including deficient conceptualization, unfamiliarity, detrimental organizational structures, and inertia. We examine the initiation of urban sustainability governance in the City of Richmond, British Columbia, Canada. On the basis of the reviews of administrative documents and interviews with staff across various administrative levels and units, we reflect on achievements and shortcomings against guidelines of urban sustainability governance spelled out in the literature. Our study indicates accomplishments in the conceptualization of a vision and overall framework to operate from, but also a number of deficits in specifying sustainability targets, applying governance principles, and evaluating impacts. Additionally, we discuss how administrative structures influence how urban sustainability governance is being implemented. We draw conclusions regarding general factors for succeeding in the initiation and implementation of urban sustainability governance.
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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 | 0.043 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.027 |
| Scholarly communication | 0.019 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".