Investigating Causality between Global Experience and Global Competency for Undergraduates in Contemporary China’s Higher Education: A Transformative Learning Theory Perspective
Bibliographic record
Abstract
The purpose of this study is to investigate the causal relationship between global experience and global competency from a transformative learning theory perspective. China society is becoming more and more linguistically and culturally diverse in a global context. Moreover, Chinese students should be knowledgeable about the international issues to successfully communicate with others in a global world. Hence, in this study, causal inference analysis was used to identify the relations between global experience and global competency methodologically. Cross-cultural experience is essential to enhance students’ global competency. Therefore, investigating the relationship between global experience and global competency is significant to develop pedagogical assessments. This study found that the global experience is associated with global competence. Therefore, providing sufficient intercultural opportunities and sustainable funding supports are fundamental for HEIs to improve global competency in contemporary Chinese higher education system.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".