Cross-Cultural Analysis of Children's Moral Education: Perspectives on Deception in Korean and Western Folklores
Bibliographic record
Abstract
Cross-cultural differences in children's judgment of lying have been documented in past research. In this qualitative study, collectivist and individualist perspectives on deception are compared. Using emergent and predetermined themes analysis, four Korean and Western folklores are analyzed. Framed by culturally sustaining pedagogy, folklores are interpreted as instruments in early learning to transmit local cultural values and bring attention to cultural diversity in moral education. Findings indicate non-binary perspectives on deception in both cultures, suggesting deception is used to impart lessons on morality and socialization. The research proposes that children encounter complex social and moral rules, but education under the neoliberal and settler colonial systems prohibit complex discussion. Recommendations are made for educators to engage in discussions on lying with children instead of avoiding uncomfortable topics through punishment. Introducing diverse perspectives on deception through different cultural resources online is suggested to propagate globalization instead of westernization in moral education.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".