Breaking Borders: How Barriers to Global Mobility Hinder International Partnerships in Academic Medicine
Bibliographic record
Abstract
This article describes the authors’ personal experiences of collaborating across international borders in academic research. International collaboration in academic medicine is one of the most important ways by which research and innovation develop globally. However, the intersections among colonialism, academic medicine, and global health research have created a neocolonial narrative that perpetuates inequalities in global health partnerships. The authors critically examine the visa process as an example of a racist practice to show how the challenges of blocked mobility increase inequality and thwart research endeavors. Visas are used to limit mobility across certain borders, and this limitation hinders international collaborations in academic medicine. The authors discuss the concept of social closure and how limits to global mobility for scholars from low- and middle-income countries perpetuate a cycle of dependence on scholars who have virtually barrier-free global mobility—these scholars being mainly from high-income countries. Given the current sociopolitical milieu of increasing border controls and fears of illegal immigration, the authors’ experiences expose what is at stake for academic medicine when the political sphere, focused on tightening border security, and the medical realm, striving to build international research collaborations, intersect. Creating more equitable global partnerships in research requires a shift from the current paradigm that dominates most international partnerships and causes injury to African scholars.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".