Bibliographic record
Abstract
The Chinese higher education system is the largest in the world. Having an understanding of the Chinese system helps to provide a better understanding of international education. This article discusses the commitments China has made under the General Agreement on Trade in Services (GATS), these commitments’ implications for Chinese higher education, and Chinese attitudes towards foreign education. It also discusses the recent development of international cooperation in Chinese higher education. Chinese are interested in learning from developed countries, the demand for higher education continues to grow in China, and most Chinese scholars believe internationalization is beneficial. Indications are Chinese higher educators will expand their cooperation with international colleagues to meet changing social needs. In internationalizing Chinese higher education, GATS may play a facilitating role. L’éducation supérieure chinoise est la plus grande du monde. Comprendre le système chinois aide à comprendre le système international. Cet article discute les accords que la Chine a pris en signant l’Accord Général sur le Commerce des Services (AGCS), les implications pour l’éducation supérieure chinoise et les attitudes chinoises envers l’éducation étrangère. Il expose également les derniers développements de coopération internationale dans l’éducation supérieure chinoise. Les chinois sont intéressés à apprendre des pays développés. La demande d’éducation supérieure continue à croître en Chine et la plupart des intellectuels chinois pensent que l’internationalisation est positive. Les professeurs d’éducation supérieure chinoise vont donc chercher à accroître la coopération avec leurs collègues internationaux afin de répondre aux besoins sociaux actuels. L’AGCS jouera certainement un rôle majeur dans l’internationalisation de l’éducation supérieure de ce pays.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".