Embracing New Lives as Korean Immigrants in Canada: A Grounded Theory
Bibliographic record
Abstract
Purpose: Many Koreans go abroad for work, study or permanent migration.As they adapt to their new environment, they can suffer from various health problems.This article aims to gain a greater understanding of the experiences of Korean immigrants in Canada.This study reports the findings of a grounded theory study.Methods: In-depth unstructured interviews were conducted with 18 Korean immigrants in Vancouver.Data was audio-taped, transcribed verbatim and analyzed using constant comparative analysis.Results: Six main categories emerged: motivation, confronting, suffering, efforts to adapt, assimilation, and conflict.A basic social process model of adaptation to life in Canada was developed reflecting the inter-relationships between these categories.Data extracts was presented to illustrate the grounding of the model in participants accounts.Conclusion: Immigrants need empathetic support and cultural understanding; this study increases the understanding of the Korean immigrant population, which should help in the design of effective coping strategies that consider the particular characteristics and problems of immigrants.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.022 | 0.018 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".