“Fake” or “Real” Marriage? Gender, Age, “Race” and Class in the Construction of Un/desirability of Marriage Migrants in South Korea
Bibliographic record
Abstract
This paper examines the link between the regulation of marriage migration and national boundary-making processes in South Korea through the analysis of “fraudulent marriage” discourses. Corresponding to the goals of the Korean government based on the gendered and racialized construction of the Korean nation, populations of marriage migrants are hierarchized according to various intersecting axes of gender, age, class, and “race.” Based on a critical race and intersectional feminist framework and critical security studies, I examine multiple intersections of the social relations, which hierarchize marriage migrants. While certain marriage migrants are constructed as desirable because they embody particular sets of characteristics (namely childbearing female marriage migrants from developing countries), other marriage migrants outside these parameters are actively constructed as undesirable and suspected of fraudulent marriage. The discriminatory distinctions drawn among differentially racialized and gendered marriage migrants raise significant social justice concerns. The article concludes with a brief discussion of strategies pursued by marriage migrants and their Korean spouses to undermine discourses of fraudulent marriages.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".