Cooperation and Capacity? Exploring the Sources and Limits of City‐Region Governance Partnerships
Bibliographic record
Abstract
Abstract Scholarship abounds on the importance of city‐regions to regional and national prosperity, and to the wider global economy. But little is known about their capacity to function as effective, legitimate and robust policy actors. This article begins to address the important question of what determines the governance capacity of city‐regions by unpacking the concepts at the core of this research. It focuses on sources of horizontal capacity as a function of the strength of intermunicipal partnerships. Research suggests a variety of determinants of the strength of inter municipal partnerships, from rational choice to institutional perspectives. This article acknowledges the contribution of these approaches, but argues that none of the approaches presented to date can alone explain observed variations in the strength and capacity of city‐regional partnerships. Instead the article presents an alternative theoretical framework that reimagines and combines existing approaches, and introduces the concept of civic capital as a critical determinant of governance capacity. Résumé De nombreux travaux de recherches soulignent combien les régions métropolitaines sont importantes pour la prospérité régionale et nationale, et pour l'économie mondiale en général. Pourtant, on en sait peu sur leur capacitéà opérer comme acteurs efficaces, légitimes et solides des politiques publiques. En revenant sur les concepts fondamentaux de ces études, l'article traite d'abord un point important: les facteurs déterminants de la capacité de gouvernance des régions métropolitaines. Il s'attache aux sources de capacité horizontale en fonction de la solidité des partenariats intercommunaux. Les études suggèrent tout un éventail de facteurs de cette solidité, allant du choix rationnel aux perspectives institutionnelles. Toutes les approches présentées à ce jour contribuent au débat général, mais aucune ne peut expliquer à elle seule les variations observées dans la solidité et la capacité des partenariats des régions métropolitaines. Un cadre théorique alternatif est présenté dans cet article, permettant de réimaginer et de combiner les approches existantes, tout en introduisant le concept de capital civique comme facteur essentiel de la capacité de gouvernance.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".