Fostering Global Citizenship through Student Mobility: <i>COVID-19 and the 4th Wave in Internationalization of Education</i>
Bibliographic record
Abstract
Although the phenomenon of student mobility can be traced back to over a thousand years, a remarkable increase began from 1995 when the World Trade Organization released the General Agreement on Trade in Services, making higher education a tradable commodity. International mobility programs have the potential to provide the environment for global citizenship by empowering students to be resilient and become citizens of the world. Higher education institutions are clamoring to prepare students for living in highly diverse societies, and countries use the soft power of international exchanges to develop goodwill. However, the striking increase in student mobility has suddenly come to a dramatic halt in recent months globally due to the COVID-19 pandemic, and the impact on international students has been most severe. In this context, this paper briefly discusses the evolution of student mobility and how it fosters global citizenship.
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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 | 0.007 |
| 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 | 0.000 |
| 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".