Power and architecture : the construction of capitals and the politics of space
Bibliographic record
Abstract
Acknowledgments List of Figures List of Maps List of Contributors Introduction: Power and Architecture - the Construction of Capitals, the Politics of Space, and the Space of Politics: An Introductory Essay Michael Minkenberg Chapter 1. Capital Architecture and National Identity Lawrence J. Vale Chapter 2. A City of the People, by the People, for the People? Democracy and Capital Building in Washington DC, Ottawa, Canberra and Brasilia Michael Minkenberg Chapter 3. Capital-building in Post War Germany Klaus von Beyme Chapter 4. Berlin - Three Centuries as Capital Christoph Asendorf Chapter 5. Image, Itinerary and Identity in the Third Rome Terry Kirk Chapter 6. 'A Capital Without A Nation:' Red Vienna, Power, and Spatial Politics Between the World Wars Eve Blau Chapter 7. The Ruins of Socialism: Reconstruction and Destruction in Warsaw David Crowley Chapter 8. State Building as an Urban Experience: The Making of Ankara Alev Cinar Chapter 9. Building Capital Mindscapes for the European Union Carola Hein Index
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".