Building Bridges Across the International Divide: Fostering Meaningful Cross-Cultural Interactions Between Domestic and International Students
Bibliographic record
Abstract
In this article, we consider the ways in which both formal and informal social practices at colleges and universities can lead domestic and international students to engage in meaningful cross-cultural interactions. Employing a narrative-based approach, we reflect upon our own personal experiences as domestic students who developed close friendships with international students at two higher education institutions in the United States at the turn of the twenty-first century. In one case, an internationalfriendship grew from a formal, university-sponsored conversation partner program organized by the university’s international office, and, in the other case, a close friendship with an international student emerged through informal social interactions on a college campus. Taken together, these cases suggest that higher education settings have the potential to be spaces of meaningful cross-cultural interaction. However, this requires an active commitment on the part of both domestic and international students to engage in social interactions across the international divide.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.040 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".