“The chug is coming through!” “There's two chuggas!”: A longitudinal study of the social function of imitation in children's play with siblings and friends
Bibliographic record
Abstract
Abstract Imitation is argued to have an important affiliative function in social relationships. However, children's tendency to imitate different play partners during naturalistic play and associations with social understanding have been overlooked. We investigated the frequency and context of imitation in a longitudinal study of 65 focal children (T1: M age = 56.4 months, SD = 5.71) during play with their older or younger sibling and a friend in two separate play sessions. Children were observed again approximately 3 years later (T2: n = 46, M age = 94.6 months; SD = 6.6). We coded focal children's verbal and nonverbal imitation of their play partner, their partner's response to being imitated, the context in which imitation occurred (e.g., pretense), and the focal child's social understanding (i.e., mental state references). Verbal imitation occurred more often than nonverbal imitation and was used most often during the contexts of play negotiations and pretense. Although focal children's imitation of both their siblings and friends increased significantly over time, children imitated friends more than siblings at T1. All play partners responded positively (i.e., smiling, laughing) most often to being imitated. Associations between focal child imitation and mental state talk with friends at T2 approached significance. Our findings provide a deeper understanding of the nature of imitation during children's play interactions and support assertions that imitation is a process whereby children build affiliation, mutuality, and shared meanings in their relationships.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".