Bibliographic record
Abstract
Korean Wild Geese Families: Gender, Family, Social, and Legal Dynamics of Middle-Class Asian Transnational Families in North America explores the experiences of middle-class Korean transnational families, whose mothers and children migrate abroad for children’s education while fathers remain in Korea and economically support their families, throughout transnational separation: before separation, during separation, and after reunification. It discusses the themes of (1) changes in wild geese parents’ relative gender statuses, housework patterns, and spousal relationships; (2) changes in mothering/fathering practices and intergenerational relationships; and (3) wild geese families’ settlement and integration in the host societies and re-adaptation to Korea after family reunification. Se Hwa Lee interviewed mothers in both the United States and Canada, as well as fathers in Korea, to compare the effects of immigration policies between the two countries in North America and present gender-balanced explanations. Se Hwa Lee also sheds light on Asian documented immigrants’ hardships and different degrees of empowerment and incorporation in the host societies according to legal status, employment, additional education, and co-ethnic community membership. This book offers readers valuable venues to enhance their understanding of increasingly diverse transnational families in North America.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".