Multi-dimensional adjustment of Eurasian self-initiated expatriates in Korea
Bibliographic record
Abstract
Purpose This qualitative study has two aims. The first is to explore the cognitive, affective, and behavioural dimensions of Eurasian self-initiated expatriates’ (SIEs) work and non-work adjustments in Korea. The second is to understand how the Confucian-oriented Korean culture influences Eurasian SIEs' work and non-work domains, in particular their organisational practices and relations with locals. Design/methodology/approach This study was conducted through a qualitative analysis of interviews conducted with 27 Eurasian SIEs working in Korea. The interviews were conducted face-to-face with open-ended questions. Findings Eurasian SIEs in Korea express different cognitive, affective, and behavioural life and work adjustment processes that affect their future careers. A high level of language proficiency and knowledge of cultural and social expectations does not guarantee work and life adjustment success. Due to the heavy presence of Korean culture in work and living environments, SIEs face challenges in joining social and work networks and balancing work and life domains, which slows down adjustment. Results indicate that SIEs adjusted well regarding cognitive and behavioural dimensions in work and non-work domains. However, affective adjustment is difficult to achieve, even for SIEs who have lived in the country for many years, and many have the intention to leave if there were other options. Originality/value This study contributes to the literature by focussing on the multidimensionality of SIEs' work and life adjustments, with cognitive, affective, and behavioural components. SIEs have been in a complicated process of adaptation and integration for a long time. This study attempts to contribute to SIE literature by analysing the elements of Confucianism-oriented Korean culture and organisational practices prevalent in SIEs' multidimensional adjustment and career challenges.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 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".