China’s Humanistic Zhong-Yong Approach to Educational Partnerships for International Development in Post-Covid-19: Confucian and Ubuntu Perspectives on Confucius Institutes and Classrooms in Africa
Bibliographic record
Abstract
Abstract Based on broad observations of the development of Confucius Institutes and Classrooms in Africa over a decade, this article focuses on educational partnerships between Chinese and African educational institutions and their implications for international development, as they relate to international development in the era of post-Covid-19. The author identifies the Confucian Zhong-Yong approach to educational partnerships through Confucius Institutes and Classrooms in Africa, a pragmatic model for educational development centered on Confucianism. Three core characteristics of Confucian educational partnerships – demand-driven, ethics-based and pragmatic – are seen as the key to the success of such partnerships. Reflecting on Ubuntu from a Confucian perspective, the author concludes that China’s humanistic Zhong-Yong approach to partnerships has a unique potential to re-envision education for international development in ways that may be of interest to such international developmental agencies as the Asian Infrastructure Investment Bank, the World Bank, and the United Nations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".