Leveraging land values for rural development in China after the Sichuan earthquake
Bibliographic record
Abstract
Since the late 1990s, rural residential land consolidation projects have propelled a wave of rural restructuring across China. Characterized by the creation of concentrated villages, land consolidation is seen as a means of both improving land-use efficiency and promoting rural development. But residential concentration is often funded through the commodification of rural land – a trend that became particularly clear in rural Chengdu after the Wenchuan earthquake. This article explores the implications of land-based rural reconstruction in Chengdu. Drawing on a comparison of three adjacent communities in peri-urban Chengdu, the article argues that the tactics adopted by local leaders in their efforts to generate funds through land consolidation can best be characterized as a process of leveraging rural land values. This leveraging entails not only a risk of failure, but also a diversion of public funds towards projects that enhance the attractiveness of land to urban investors, a removal of control over land from the hands of rural residents, and a deepening of inequalities across communities.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".