A Comparison of China’s “Ivy League” to Other Peer Groupings Through Global University Rankings
Bibliographic record
Abstract
This article analyzes the People’s Republic of China’s elite-making higher education policies that began in the early 1990s, notably with the 211 Project and then 985 Project, which led to the formation of the C9 League, a group of nine leading institution’s dubbed China’s “Ivy League.” This elite grouping is compared with other Chinese universities in terms of global rankings from 2003 to 2015 to ascertain the separation by these top tiered institutions. Furthermore, the C9 League will be compared with other global elite coalitions in the United States, Canada, Australia, and the United Kingdom over the same period. University rankings, despite considerable criticism, have provided the Chinese leadership with key benchmarks for their vision of world-class higher education. This article finds that the C9 League has made some separation from other Chinese universities and has also caught up with its Western peers (notably passing Canada’s U15) in terms of international rankings.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".