Early Learning Environments for the Development of Attention: Maternal Narratives in the United States and Japan
Bibliographic record
Abstract
A large body of research has demonstrated cross-cultural differences in visual attention, especially between members of North American societies (e.g., Canada, United States) and East Asian societies (e.g., China, Japan, Korea). Despite an increasing number of studies suggesting an emergence of cross-cultural differences in early childhood, relatively little is known about how these culturally divergent patterns of attention are acquired and maintained. It has been largely assumed that socialization practices, especially parent–child interactions, contribute to the acquisition of cross-cultural differences in attention. By focusing on maternal narratives during the shared reading activity, this study examined the socialization contexts in which mothers direct their infants’ attention in the United States ( n = 50 dyads) and Japan ( n = 53 dyads). Mothers in the United States and Japan read a picture book to their 6- to 18-month-old infants in the lab, and maternal narratives were coded to identify attention to focal objects and social interactions. Infants’ sustained attention was also measured during shared reading. The findings demonstrated that during the shared reading activity, U.S. mothers were relatively more likely to focus on the focal objects than the background, whereas Japanese mothers were more likely to refer to the social interactions between focal objects and the background. Infants’ age and gender were not related to maternal narratives, and infants’ sustained attention was similar across cultures. Findings suggest significant cross-cultural differences in mother–infant interactions, which may act as scaffolds for infants to internalize their parents’ cognitive styles.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".