The Political Economy of Capital Cities
Bibliographic record
Abstract
Capital cities that are not the dominant economic centers of their nations – so-called ‘secondary capital cities’ (SCCs) – tend to be overlooked in the fields of economic geography and political science. Yet, capital cities play an important role in shaping the political, economic, social and cultural identity of a nation. As the seat of power and decision-making, capital cities represent a nation’s identity not only through their symbolic architecture but also through their economies and through the ways in which they position themselves in national urban networks. The Political Economy of Capital Cities aims to address this gap by presenting the dynamics that influence policy and economic development in four in-depth case studies examining the SCCs of Bern, Ottawa, The Hague and Washington, D.C. In contrast to traditional accounts of capital cities, this book conceptualizes the modern national capital as an innovation-driven economy influenced by national, local and regional actors. Nationally, overarching trends in the direction of outsourcing and tertiarization of the public-sector influence the fate of capital cities. Regional policymakers in all four of the highlighted cities leverage the presence of national government agencies and stimulate the economy by way of various locational policy strategies. While accounting for their secondary status, this book illustrates how capital-city actors such as firms, national, regional and local governments, policymakers and planning practitioners are keenly aware of the unique status of their city. The conclusion provides practical recommendations for policymakers in SCCs and highlights ways in which they can help to promote economic development.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".