Fostering Cross-border Learning and Engagement through Study Abroad Scholarships: Lessons from Brazil's Science without Borders Program
Bibliographic record
Abstract
This study examines the potential benefits of participating in the Science without Borders (Ciência sem Fronteiras - CsF) program, a study abroad scholarship program created in 2011 by the Brazilian government. Like other scholarship programs, CsF seeks to foster human capital development and the internationalization of science and technology in the country. Differently from other programs, however, CsF targets undergraduate students in the sciences. While Brazil has received positive feedback for this initiative, critics have argued that insufficient planning may hinder this program’s ability to deliver desired outcomes. Thus, through a literature review and 20 interviews with CsF scholarship recipients at the University of Toronto, this qualitative study evaluates the program’s ability to promote important benefits. Although the study identified various student benefits, the research also found structural issues that prevented all participants from benefitting equally, demonstrating the importance of collaborative planning and implementation of study abroad scholarship programs.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".