China as a Destination for International Students: A “Pull and Repel” Factors Analysis in the Post-COVID-19 Era
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International student mobility is a complex phenomenon influenced by numerous factors.This study examines the prospect of China as a destination country for international students in the post-COVID-19 era.With qualitative data from 30 frontline international educators (support staff in international student recruitment and services) from 30 Chinese universities, this study has determined a set of "pull" factors that serve to attract international students to study in China and a set of "repel" factors that discourage students from going.On the basis of both the "pull" and "repel" factors identified, the participants anticipate important challenges for China's international enrollment in the short term, but stay optimistic about the long-term prospect.The "pull and repel" factors analysis is found to be a useful approach to examining the attractiveness of a host country to international students in a focused manner.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it