A relational perspective on callous-unemotional traits in early childhood: Maternal sensitivity and child attachment as developmental antecedents
Bibliographic record
Abstract
Research shows that parenting plays an important role in the development of callous-unemotional (CU) traits in children. Yet, the specific aspects of positive parenting that may offer the strongest protection against the development of CU traits, as well as the potential role of child attachment to parent in this protection, remain poorly understood. This longitudinal multi-informant study aimed to investigate the mediating role of early mother-child attachment security in the prospective associations between three aspects of maternal sensitivity (positivity, attunement, availability) and subsequent CU traits in children. Maternal sensitivity and mother-child attachment security were observed in the home when children were 12 and 15 months old respectively. Child CU traits were reported by mothers, fathers, and teachers at age 4 years. Analyses revealed that maternal attunement was linked to lower levels of CU traits indirectly through the mediating role of attachment security. There was also a direct, non-mediated negative association between maternal availability and CU traits. Consistent with the notion of equifinality, these findings suggest that different aspects of parenting may be linked to child CU traits via distinct mechanisms, with some but not all of those mechanisms involving parent-child attachment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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, 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".