Capital Cities in Interurban Competition: Local Autonomy, Urban Governance, and Locational Policy Making
Bibliographic record
Abstract
Capital cities are government cities that tend to lack a competitive political economy. Especially secondary capital cities—defined as capitals that are not the primary economic centers of their nation-states—are pressured to increase their economic competitiveness in today’s globalized interurban competition by formulating locational policies. This article compares the locational policies agendas of Bern, Ottawa, The Hague, and Washington, D.C. The comparison reveals that (1) secondary capital cities tend to formulate development-oriented locational policies agendas, (2) local tax autonomy best explains the variance in locational policies agendas, and (3) secondary capital cities possess urban governance arrangements where public actors dominate and where developers are the only relevant private actors. The challenge for secondary capital cities is to formulate locational policies that enable them to position themselves as government cities, as well as business cities, while not solely relying on the development of their physical infrastructure.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".