Chinese children's moral evaluation of lies and truths—roles of context and parental individualism–collectivism tendencies
Bibliographic record
Abstract
The present study examined Chinese children's moral evaluations of truths and lies about one's own pro-social acts. Children ages 7, 9, and 11 were read vignettes in which a protagonist performs a good deed and is asked about it by a teacher, either in front of the class or in private. In response, the protagonist either tells a modest lie, which is highly valued by the Chinese culture, or tells an immodest truth, which violates the Chinese cultural norms about modesty. Children were asked to identify whether the protagonist's statement was the truth or a lie, and to evaluate how 'good' or 'bad' the statement was. Chinese children rated modest lies more positively than immodest truths, with this effect becoming more pronounced with age. Rural Chinese children and those with at least one nonprofessional parent rated immodest truths less positively when they were told in public rather than in private. Furthermore, Chinese children of parents with high collectivism scores valued modest lies more than did children of parents with low collectivism scores. These findings suggest that both macro- and micro-cultural factors contribute significantly to children's moral understanding of truth and lie telling.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".