Planning trajectories in post-socialist cities: patterns of divergence and change
Why this work is in the frame
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Bibliographic record
Abstract
This article explores the new planning regimes and planning processes in post-socialist countries and their ability to influence the spatial transformation of cities. It views planning institutions as culturally embedded in the overall process of economic, social, and political transition, while recognizing the power of specific local imperatives and market pressures to shape their response. The research draws on empirical evidence in four countries and their capital cities to highlight the links between the transition to democracy, markets, and decentralized governance on the spatial transformation in post-socialist cities. The main argument is that the new planning institutions have different ability to direct these processes of change, depending on the legal framework, the availability of plans, and the institutionalization of the plan-implementation process. Despite the diverse mosaic of urban experiences in Prague, Riga, Belgrade, and Tirana, planning institutions are viewed as path dependent, influenced by a common socialist legacy. Further, changes in the exogenous environment – economic, social, and institutional – are perceived to be important sources of convergence, but tend to shape different planning responses and policy choices. The research explores these differences as well as the new patterns of spatial transformation in three principal domains: (1) spaces of production/consumption reflecting the economic transition; (2) differentiation in residential spaces associated with the social transition; and (3) new approaches to planning and service delivery resulting from the transition in governance. Central to the arguments in the article is that transition of this magnitude has created a complex urban world in which the patterns of divergence are going to become more explicit in the future, producing spatial and temporal differentiation among post-socialist cities.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it