Spatial planning of China’s lower-tier cities: strategies, implementation, and consequences
Bibliographic record
Abstract
Because of the uneven distribution of territorial power and autonomy, cities in lower positions in China’s urban hierarchical system are typically disadvantageous in obtaining vital and timely political and economic resources. Applying the theoretical discourse of spatial selectivity in state space production, this study focuses on the territorial dimension of spatial strategies and investigates how local spatial selectivity strategies have unfolded in Bengbu and Chuzhou, two third-tier cities in Anhui Province. The research finds that while lower-tier cities endeavor to use spatial selectivity and advocate new administrative and economic spaces by making connections to higher-tier cities, their spatial strategies overlook insufficient interconnections with their peers. Territorial status categorization, spatial relational adjustment, and administrative boundary realignment may have adverse effects when the mismatch between their targeted places and proposed functions occurs. Institutional reconfigurations through rescaled government and multi-level and cross-regional governance network are not common in lower-tier city’s spatial strategies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| 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".