Comparative civic culture project: Vancouver
Bibliographic record
Abstract
A central theme in the globalization literature has been the “hollowing out” of national state governance capacities, and the related flow of responsibility upward and downward to supra-national and sub-national authorities. This line of argument, clearly reflected in the literatures on “glocalisation” and “global cities,” highlights an important aspect of contemporary state restructuring. However, recent research in urban studies and political economy describes a more complex and contested process of state “rescaling” resulting in hybrid forms of multi-level governance at different geographic scales. Neil Brenner has been at the forefront in analysing these new scalar rrangements and political spaces across countries and over time. His theoretical innovations address central research themes in urban studies and regional political economy such as urban regime analysis, urban social movements, cross-border governance, and inter-governmental relations. The aim of this jointly sponsored workshop (Local Government/Political Economy) is to gain a better understanding of the rescaling approach to the study of urban governance, and to encourage greater cross-fertilization of ideas between the sub-fields of Local Government and Political Economy. Neil Brenner will present his new book New State Spaces: Urban Governance and the Rescaling of Statehood (Oxford: 2004) followed by commentary from leading urban researchers in Canada familiar with his work.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.135 | 0.017 |
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".