Educated into Sinophilia? How Kazakh Graduates/Students of Chinese Universities Perceive China
Bibliographic record
Abstract
This article examines perceptions of China and contributes to the ongoing academic debate on Sinophobia in Central Asia. However, unlike existing studies, it specifically focuses on perceptions of those, who have first-hand China experience – Kazakh students/graduates of Chinese universities. Based on in-depth interviews with them, the article argues that those with first-hand China experience tend to reject the China threat theory, found to be widespread among the general population. Instead, China-educated Kazakh youth perceive China mostly as an economic opportunity for their own country. Yet, this does not necessarily make them Sinophiles in the sense that they still express certain concerns related to their country’s potential over-dependence on China. But more interestingly, they see China as the “civilizational other.” This perceived civilisational abyss even among the more-informed segments of the population appears to be one of the main causes of the alienation of China and the Chinese in Kazakhstan.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".