Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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