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
How are metropolitan regions governed? What makes some regions more effective than others in managing policies that cross local jurisdictional boundaries? Political coordination among municipal governments is necessary to attract investment, rapid and efficient public transit systems, and to sustain cultural infrastructure in metropolitan regions. In this era of fragmented authority, local governments alone rarely possess the capacity to address these policy issues alone. This book explores the sources and barriers to cooperation and metropolitan policy making. It combines different streams of scholarship on regional governance to explain how and why metropolitan partnerships emerge and flourish in some places and fail to in others. It systematically tests this theory in the Frankfurt and Rhein-Neckar regions of Germany and the Toronto and Waterloo regions in Canada. Discovering that existing theories of metropolitan collective action based on institutions and opportunities are inconsistent, the author proposes a new theory of "civic capital", which argues that civic engagement and leadership at the regional scale can be important catalysts to metropolitan cooperation. The extent to which the actors hold a shared image of the metropolis and engage at that scale strongly influences the degree to which local authorities will be willing and able to coordinate policies for the collective development of the region. Metropolitan Governance and Policy will be of interest to students and scholars of comparative urban and metropolitan governance and sociology.
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) | 0.003 | 0.004 |
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