International Students and Global Mobility in Higher Education: National Trends and New Directions
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
Global Student Mobility and the 21st Century Silk Road: National Trends and New Directions R.Bhandari & P.Blumenthal Mobility Strategies and Trends: the Case of China Y.Xinyu India's Growing Influence in International Student Mobility P.Agarwal International Student Mobility: a European Perspective from Germany and the UK C.Bode & M.Davidson Understanding International Mobility in a U.S. Context A.E.Goodman International Education in Australia: From Aid to Trade to Internationalization M.Banks , T.Adams & A.Olsen Student Mobility Trends in Latin America H.de Wit & I.C.Jaramillo Student Mobility Trends in Africa: A Baseline Analyses of Selected African Countries R.Kishun Structural Incentives to Attract Foreign Students to Canada's Post-Secondary Educational System: A Comparative Analysis J.McHale Can Speak, Will Travel: The Influence of Language on Global Student Mobility V.Lasanowski Regional Education Hubs: Mobility for the Knowledge Economy J.Knight
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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