Privatization Chinese Style: Tuition Reforms in China's Postsecondary Education
Bibliographic record
Abstract
Since the endorsement of a socialist market economy in 1992 in the 14th National Congress of the Chinese Communist Party, self-financing and fee-charging principles have been widely adopted, and finally legitimized in China's higher education system. However, refonns in China's post secondary education, mainly privatization and tuition fee hikes, have produced some serious controversies and concerns among students, parents, and international education researchers. This article delves into the issues of post secondary education refonn in China and brings into attention problems that occur when policies are institutionalized in a centralized decentralization setting. Depuis l'adhesion a une economie de marche socialiste au 14e Congres national du Parti communiste chinois, les principes d'autofmance et de privatisation ont ete adoptes partout, et finalement legitime dans le systeme d'education tertiaire en Chine. Neanmoins, les refonnes dans le systeme d'etude post-secondaire chinois, surtout dans la privatisation et dans la hausse des frais de scolarite, ont provoque de serieuses controverses et des soucis chez les etudiants, parents, et chercheurs intemationaux sur l'enseignement. Cet article etudie les problemes de reforme au niveau post-secondaire en Chine et attire l'attention sur les problemes qui surviennent lorsque les politiques se font institutionnalisees dans un milieu de decentralisation centralisee.
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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 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".