Tracing Agricultural Land Transfer in China: Some Legal and Policy Issues
Bibliographic record
Abstract
This paper traces the evolution of land tenure changes in contemporary China since 1949. The transfer of land from peasant households to family farms and commercial sized units is on a vast scale and forms one of the greatest land reforms we have ever seen. The agrarian question forms both the policy and academic context in which this legislative account of land transfer is assessed and raises the question of whether land assembly in China resembles previous agricultural transformation policy and processes in industrialized countries or to what extent it has special characteristics of its own. The security of land holding in rural China, established with the household responsibility system, is seen to mature slowly over three to four periods of adjustment, always protecting the rights of peasants while improving conditions for increasing land productivity, resulting in an extension of the two rights of peasant holdings to three rights in the new millennium. The introduction of a third right, a land management right which is transferable from peasants to outsiders, has enabled a huge land assembly movement affecting millions of small holdings. This process of land tenure restructuring raises such questions as the consequences of the capitalization of agriculture, peasant land dispossession, proletarianization, and the prospect of a future land market in rural China, all topics for further research.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".