Parents Adaptively Adjust Timing and Musical Complexity in Object-Use Demonstrations during Early Triadic Interactions
Bibliographic record
Abstract
Early musical interactions play a formative role in structuring infant-caregiver exchanges. However, much of the research on communicative musicality has focused on dyadic formats, overlooking the triadic contexts in which infants engage with adults and objects. This study investigates how the musical structuring of adult object-use demonstrations varies across infancy and how these temporal features adapt over developmental time. Drawing on longitudinal naturalistic observations, we analyzed monthly home recordings of eight adult-infant dyads in Spain, including infants aged 6–12 months (4 girls, 4 boys) and caregivers (7 women, 1 man). Demonstrations were coded for spatial proximity (distant vs. immediate) and musical complexity (three levels) and analyzed using generalized linear mixed-effects models. Results revealed differentiated developmental trajectories across levels of musical complexity. Minimally structured demonstrations (Level 1) showed declining trends in both duration and frequency as infants matured. Moderately complex demonstrations (Level 2) decreased in duration but increased in frequency. Highly structured demonstrations (Level 3) lengthened significantly with age while maintaining stable frequency. Models accounted for moderate variance (conditional R² = .188–.292), indicating meaningful developmental adaptations contingent on musical structuring. These findings highlight how adults dynamically calibrate their actions’ temporal and musical features to scaffold infants’ developing capacities within evolving triadic ecologies, offering new insight into the architecture of early social cognition.
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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 | 0.007 |
| 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 | 0.001 | 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".