Children’s Social Competence: The Role of Maternal Scaffolding
Bibliographic record
Abstract
The present study examined the association between maternal scaffolding behaviours on children's social skills among preschool children (3 to 6 years old). Using an ecological framework, the influence of parent (i.e., parent emotion socialization practices) and child characteristics (i.e., child temperament) on maternal scaffolding behaviours and children’s social skills were also explored. A total of one hundred and five parent-child dyads from Southwestern Ontario participated in the study. Through laboratory visits, data were collected on children's temperament, children’s social skills, and maternal emotion socialization practices (i.e., maternal distress reaction). Maternal scaffolding behaviors were assessed using a video-recorded parent-child planning task. Contrary to expectations, the findings did not reveal a significant positive association between maternal scaffolding behaviors and children's social skills. However, a significant positive association was found between children’s social skills and children’s temperament (i.e., children’s effortful control and negative affect). A significant positive was also found between autonomy maternal scaffolding behaviours and children’s effortful control. Regression analyses found that children’s social skills emerged as a significant predictor for children’s temperament (i.e., children’s effortful control and negative affect). These findings extend current research on the role of parental scaffolding behaviours and children’s development, specifically children’s social competency. Furthermore, results also provide insights into early prevention initiatives for preschool children.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".