Bibliographic record
Abstract
China has experienced major shifts from a centrally planned economy to a market economy, from centralization to decentralization, from state ownership to privatization, and from a decisive state to a weakened state. Despite China’s economic miracle, the country also faces unprecedented challenges, including rising social inequality, rural-urban divide, regional disparity, environmental degradation, declining health and education conditions, and polarization between the rich and poor. China’s profound socioeconomic and political transformations have led to significant fundamental changes to education in China, as manifested in its decentralization, marketization, and privatization. One significant paradigm change relates to the devolution of education power and policy from a centralized governance model to local governments. With the privatization and marketization of its education system, China has adopted a market-oriented approach with the orientation, provision, student enrollment, curriculum, and financing of education. There is sufficient evidence to suggest that there has been a withdrawal of the mighty state from its paternalistic role in the provision and subsidy of public education. Unfortunately, the market economy has further increased education inequalities. The maldistribution of resources and education opportunities raises important questions about issues of social justice and equity regarding who gets how much education as the social good.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".