Cultural identity change in expatriates: A social network perspective
Why this work is in the frame
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Bibliographic record
Abstract
We explore relational patterns of expatriates’ social networks and their impact on expatriates’ change in cultural identity while working abroad. We go beyond mono-cultural assumptions and highlight the importance of examining cross-cultural relational dynamics on maintenance and change in expatriates’ cultural identity. We argue that strong ties in dense networks are most conducive to helping expatriates stay attached to a national culture. Cultural diversity in a social network provides the impetus for cultural identity change. Cross-cultural interconnectedness within an expatriate’s social network contributes to the development of multiculturalism in one’s cultural identity. We also discuss the effect of cultural identity change on expatriation and repatriation adjustment, and provide some practical implications for individuals as well as organizations. Overall, we offer a cross-cultural social network perspective in theorizing about the expatriation experience.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it