China as a Contesting Ground for Ideologies: Examining the Social and Ideological Forces that Influence China’s Educational System
Bibliographic record
Abstract
From 1919 to 1921, John Dewey travelled and lectured in China. He received a thunderous welcome and exercised a tremendous influence in China, however, very little has been written about it. The first purpose of this article is to investigate Dewey's visit to China and his influence on Chinese education. The second is to examine the various social and ideological forces with which Dewey's progressivism co-existed and interacted in shaping China's current educational system, and to determine which force(s) exert the strongest influence. China's educational system today is defined and guided by a synthesis of various social and ideological forcesÑtraditional Confucianism, Deng's pragmatism, Maoism, and Dewey's progressivism. These forces, although often theoretically exclusive of one another, have in practice been woven into the tapestry of the system at all levels. This paper encourages readers to learn from others in improving their own educational systems.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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 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".