Cultural novelty and international students’ experience: a five-country study
Bibliographic record
Abstract
Abstract Research has linked cultural differences between a sojourner’s home and host country with their cultural transformation. Nonetheless, the results of empirical studies are inconclusive due to different operationalizations of cultural differences and testing among different groups of sojourners. We extend previous investigations by examining the effects of cultural novelty (i.e., the subjective perception of cultural differences) on the experience of international students (N = 1114) in Denmark, Germany, Italy, Poland, and the USA. Drawing on acculturation and social learning theories, we conceptualized a model of students’ adjustment and satisfaction taking into account cultural novelty. We tested the model through multi-group structural equation modeling (SEM) and examined the various relationships across subsamples from all five countries. We determined the significant effects of cultural novelty and a range of factors impacting students’ intercultural experience, such as their cultural intelligence, cultural background, second-language skills, time in the host country, and socialization with domestic students, and how the effects may vary by the host country. We discuss implications for future research and practice.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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 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".