Rapid urbanization in a transitional economy in China: The case of Hainan Island
Bibliographic record
Abstract
The outcomes and forms of urbanization and modernization in China following the reform and opening of the late 1970s have attracted extensive attention and competing interpretations in scholarly documentation. This paper focuses on Hainan Island, established in 1988 as the biggest special economic zone in China. Since then, considerable inflows of human as well as speculative capital have led to rapid real estate, in particular tourism‐related, development. While urban expansion and improvements have been encouraged, the ongoing over‐building, unregulated conversion of land use and degradation of the urban environment present serious social and economic problems. This paper summarizes the trajectory, causal factors and outcomes of this urban growth and consequent planning problems that make the island an atypical case in China’s urbanization experience. We argue that the establishment of a practical framework combining socioeconomic planning, land use planning, and the management of both, is crucial to achieve sustainable growth for this transitional economy.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| 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".