Why do Chinese international students attend the University of British Columbia : push and pull factors
Bibliographic record
Abstract
Globalization is regarded as the context and facilitating force for the increasingly enhanced internationalization of higher education around the world. As a response to globalization, the internationalization of higher education takes places in various forms and practices in different countries. In contemporary era, international student mobility is by far the main form of cross-border education in the world. In existing relevant literature, the push and pull model is employed by many researchers as the theoretical framework to investigate the motives of international students, the host countries and higher education institutions. There are approximately three million international students studying outside of their home countries (IEE, 2010). China has become the largest source country of international students among these three-million international students. Most of the study-abroad Chinese students from mainland China went to pursue overseas higher education after 1999 when the Chinese government began to enforce the university expansion policy in mainland China. However, few researchers gave attention to this unprecedented out-going heat among Chinese students in the past decade. The purpose of this study was to investigate the factors inspiring a large number of Chinese students to study abroad after the 1999 reform in the Chinese higher education sector. The push and pull model was employed as the theoretical framework in this study. A semi-structure one-on-one interview was used as the research method to collect inquired information. Nine Chinese international students who are currently studying at the University of British Columbia were recruited as the research participants. The research results show that there are both shared and individual motives inspiring these nine students to decide on undertaking overseas higher education based on their personal academic, economic and social background.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".