Economic growth and urban metamorphosis: A quarter century of transformations within the metropolitan area of Bucharest
Bibliographic record
Abstract
This paper concentrates explicitly on examining the structural and functional transformations occurring within the metropolitan area of Bucharest, resulting from sustained economic growth during the past quarter century, by conducting a time analysis, spanning the entire period since the fall of the communist regime in late 1989. Cities in developed countries of Western Europe and Asia experienced rapid economic growth during the second half of the 20th century and exhibited novel patterns of evolution in terms of urban form and associated functional characteristics. Lately, these patterns have become manifest in Bucharest as well. However, transformations in human, social, residential, and transportation supply capital are difficult to observe directly. Hence, our methodology concentrates on studying interactions between several proxies connected to economic development within the metropolitan area of Bucharest. This paper should be read as an exploratory study that buttresses the assumption that improved economic well-being, when accompanied by the transition between a centrally planned economy to a market economy, increases motorization rates, while at the same time triggering a sharp decline in the use of public transport and contributing to aggressive urban sprawl processes. Moreover, hopefully it will guide future research dedicated to forecasting urban expansion paths and their determinants. Hopefully, it also informs policy design intended to promote sustainable urban mobility and accessibility.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.003 |
| 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".