Bibliographic record
Abstract
In recent years there has been an explosion of interest in local politics and the governance of cities -both in Canada and around the world.Globally, the city has become a consequential site where instances of social conflict and of cooperation play out.Urban centres are increasingly understood as vital engines of innovation and prosperity and a growing body of interdisciplinary research on urban issues suggests that high-performing cities have become crucial to the success of nations, even in the global era.Yet at the same time, local and regional governments continue to struggle for political recognition and for the policy resources needed to manage cities, to effectively govern, and to achieve sustainable growth.The purpose of the McGill-Queen's Studies in Urban Governance series is to highlight the growing importance of municipal issues, local governance, and the need for policy reform in urban spaces.The series aims to answer the question "why do cities matter?" while exploring relationships between levels of government and examining the changing dynamics of metropolitan and community development.By taking a four-pronged approach to the study of urban governance, the series encourages debate and discussion of: (1) actors, institutions, and how cities are governed; (2) policy issues and policy reform; (3) the city as case study; and (4) urban politics and policy through a comparative framework.With a strong focus on governance, policy, and the role of the city, this series welcomes manuscripts from a broad range of disciplines and viewpoints.
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.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.890 | 0.810 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".