Koreans in the diaspora : identity development of Korean immigrant students in a multicultural context
Bibliographic record
Abstract
The objective of this study is to approach the lived experiences and the identity development of Korean immigrant students in Canada. The concept of diaspora suggests to look at the new style of identity in a global world. In order to describe Korean students' transnational experience, the study attempts: 1) to determine the influence of immigration on the development of students' identity, 2) to examine the cultural and racial experience in different situations, 3) to discuss how Korean students situate themselves and develop their self-concepts in relationship to others. The study employed a qualitative method and conducted ten individual, semi-structured interviews. In the study, ten Korean immigrant students were asked about their immigration backgrounds, their experiences at school and home, their friendships with Korean friends and non-Korean friends, and their future plans. My analysis attempts to examine the discrepancy between: 1) how Korean students see themselves, 2) how they think they are viewed by others 3) what they aspire to become in the future. Most Korean students identified themselves as "Korean" while others described themselves as "Asian" or did not wish to identify themselves. However, their self-definitions did not always coincide with how others saw them in different situations. At school, students tended to be seen as Asians by the mainstream, and shared the experience of being victims of racism. This shared experience along with the cultural similarity allowed them to have closer relationships with Asians. However, physical, cultural and historical "invisibility" of Koreans among Asians contributed to create a sense of inferiority. At home, students try to reward their parents' sacrifices by being "successful" at school, planning a future career, as well as maintaining Korean traditions at home. Korean students develop new identities in their country of settlement, but at the same time, they are still mentally connected to their country of origin. The source of Korean identity is readily accessible in a multicultural society, and globalisation facilitates a connection for Koreans to their homeland. The concept of diaspora presents a new look at the minority students' special relationship to their countries of settlement and their country of origin. It can give a deeper understanding of the social reality in which minority students live.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".