Local Citizenship: Welfare Reform Urban/Rural Status, and Exclusion in China
Bibliographic record
Abstract
After 1949 China's welfare system developed on the basis of a status division between urban and rural residents. Urban and rural societies were profoundly influenced by the respective organization of their welfare systems, which shared the feature of being fixed to specific places (rural) or enterprises (urban). Reform of core institutions is constrained by path dependency. Knowledge of those constraints, however, can aid efforts to shape new paths. In this paper we examine how institutional legacies of urban – rural status differentiation continue to structure economic and welfare reform. China's reform process has been characterized by an unusual degree of decentralization and local experimentation. As a result, the nature of change is not easily seen by examining only laws and policies related to welfare. Instead, broader changes in the economy and the loosening of controls on mobility have interacted with the locality/enterprise welfare systems to generate diverse local outcomes. After an overview of the welfare institutions and the reform process, we draw on field research in industrializing rural areas in Guangdong to describe a pattern we label ‘local citizenship’ where welfare benefits are elaborated for the locally born while excluding migrants.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| 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".