Exploring Korean Mothers` Socially Constructed Meaning of School Readiness in Lower and Higher Socioeconomic Status Communities
Bibliographic record
Abstract
This study explored the meaning of school readiness of Korean mothers in lower and higher socioeconomic status (SES) communities through the qualitative case study method. For the research, 21 Korean mothers from two kindergartens placed in two different SES communities in Seoul, Korea, participated. This study found that the meaning of school readiness among Korean mothers involved academic and social preparation. On a daily basis, more emphasis was placed on academic preparation than social preparation. The meanings of school readiness for the Korean mothers were deeply constituted within and constituted Korea`s social and cultural contexts such as education fever, private education and early education in the society. Some differences were found between two groups of mothers in terms of the meaning of school readiness. Two groups of mothers had different standards for extracurricular education in relation to school readiness. This study also confirmed the significance of the ready school and the ready community in relation to children`s school readiness. As for the ready school, the higher SES mothers were most concerned about quality of teachers in the school, while the lower SES mothers were concerned more about school violence including the Wangdda (Socially rejected or an outcast in a group) problem in Korean schools.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".