Designing new Korean mothers, daughters-in-law, and wives: an analysis of Korean textbooks for newly arrived marriage migrants in South Korea
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
Abstract Textbooks are sociocultural materials, reflecting political decisions, educational beliefs and priorities, cultural realities and language policies. As part of a larger ethnographic study which investigated the multilingual socialization of foreign wives in South Korea, I present the nature and extent of the gender-making process through an analysis of Korean textbooks for recently arrived female marriage migrants, which provides an understanding of the extent to which gender and race are ingrained in shaping linguistic nationalism in globalized times. I first introduce a four-stage life cycle designed by the South Korean government and situate Korean textbook series called Korean Language Learning With International Marriage Migrant Women as an intervention used early in the settlement period for foreign mothers. Then, I analyze the textual and multimodal representation of family identities taken from six textbook series, focusing on lessons, dialogues, and characters that are presented. The results of the study demonstrate how the state presents its attempts to transform foreign wives into a new type of ‘wise mother good wife’ in the globalized, multilingual world. I demonstrate the ways in which state-driven gender identity production is not simply (re)producing the gender divide but also aligned with nation-making processes that are facing challenges in these globalized times.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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