The Intersection of Motherhood and Disability: Being a “Good” Korean Mother to an “Imperfect” Child
Bibliographic record
Abstract
This study springs from a larger cross-cultural project about mothering a child with a disability in South Korea and in the United States. The present analysis focuses on data collected in South Korea. Integrating critical feminist and disability theories within a social constructionist framework (McGraw & Walker, 2007), we asked (a) how dominant sociocultural systems related to mothering and disability shape South Korean mothers’ understanding of themselves and their children with autism and (b) how mothers conform to and resist these systems. To answer these questions, we conducted in-depth interviews with 14 middle-class, South Korean mothers with children who have autism. We found that mothers resist stigmatizing beliefs about their children by reconstructing the meaning of “normal” childhood and by relying on a network of similarly situated mothers for support. We also found that these mothers conform to traditional beliefs about “good” mothering by adhering to Confucian family values that encourage women to sacrifice themselves to focus on their children’s success. From these findings, we offer implications for practice.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".