Bibliographic record
Abstract
This book investigates the experiences of South Koreans adopted into Western families and the complexity of what it means to "feel identity" beyond what is written in official adoption files. Korean Adoptees and Transnational Adoption is based on ethnographic fieldwork in South Korea and interviews with adult Korean adoptees from the United States, Australia, Canada, Switzerland and Sweden. It seeks to probe beneath the surface of what is "known" and examines identity as an embodied process of making that which is "unknown" into something that can be meaningfully grasped and felt. Furthermore, drawing on the author’s own experiences as a transnational, transracial Korean adoptee, this book analyses the racial and cultural negotiations of "whiteness" and "Korean-ness" in the lives of adoptees and the blurriness which results in-between. Highlighting the role of memory and the body in the formation of identities, this book will be useful to students and scholars of Korean Studies, Ethnicity Studies and Anthropology as well as Asian culture and society more generally.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".