Expressive language and prosocial behaviour in early childhood: Longitudinal associations in the UK Millennium Cohort Study
Bibliographic record
Abstract
Background: Early childhood is a crucial period for language development and building social skills. While distinct, these two processes may impact upon each other.Aims: The current study aimed to identify the directional associations between expressive language ability and prosocial behaviour between three and five years of age.Methods: Participants included 14, 004 children and their families enrolled in the UK Millennium Cohort Study. Children’s expressive language and prosocial behaviour were assessed at three and five years of age utilizing standardized assessments and parent reports. Cross-lagged models were used for data analysis.Results: Better expressive language at three years was associated with increased prosocial behaviour by five years. No support for the inverse direction of association was found.Conclusions: Children’s early ability to effectively express themselves with others may help in building better social relationships by entry into formal schooling. Programming efforts that are tailored towards enhancing positive behavioural growth and social skills in the toddler years are likely to be effective when expressive language is also a targeted component of the toddler’s skill development.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".