China’s 2008 Labor Contract Law: Implementation and implications for China’s workers
Bibliographic record
Abstract
This article presents empirical evidence from household and firm survey data collected during 2009−2010 on the implementation of the 2008 Labor Contract Law and effects on China’s workers. The Government and local labor bureaus have made substantial efforts to enforce the provisions of the new Law, which has likely contributed to reversing a trend toward increasing informalization of the urban labor market. Enforcement of the Law, however, varies substantially across cities. The article analyzes the determinants of worker satisfaction with the Law’s enforcement, workers’ propensity to have a labor contract, their awareness of the Law’s content and their likelihood of initiating disputes, and finds that all are highly correlated with education level, especially for migrants. Although higher labor costs may have had a negative impact on manufacturing employment growth, this has not led to an overall increase in aggregate unemployment or prevented the rapid growth of real wages. Less progress has been made in increasing social insurance coverage, although signing a labor contract is more likely to be associated with participation in social insurance programs than in the past, particularly for migrant workers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".