A Critical Perspective on Short-Term International Mobility of Faculty: An Experience from Kazakhstan
Bibliographic record
Abstract
This article looks at the relatively understudied phenomenon of short-term international mobility of faculty from the critical internationalization perspective. It uses data from interviews with academics from Kazakhstan, who participated in short-term professional development trips abroad to understand who benefits and who loses as a result of short-term faculty mobility and how the short-term international mobility may contribute to the process of reproduction of the existing social structures and inequality. Critical internationalization perspective in general, as well as mobility paradigm more specifically, helps to reveal some important insights about short-term international mobility from a non-Western country to predominantly Western institutions. The main conclusion from the study is that host university’s engagement in hosting mobile faculty coming on short visits seems to be driven predominantly by the neoliberal profit-seeking motives rather than by a more humanistic desire to serve the larger global society by sharing its expertise or to engage in equal and mutually beneficial partnership relationships.
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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 | 0.000 | 0.004 |
| 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".