Attachment disorganization and controlling behavior in middle childhood: maternal and child precursors and correlates
Bibliographic record
Abstract
Main, Kaplan, and Cassidy's (1985 Main, M., Kaplan, N. and Cassidy, J. 1985. “Security in infancy, childhood, and adulthood: A move to the representational level”. In Growing points of attachment theory and research. Monographs of the Society for Research in Child Development Edited by: Bretherton, I. and Waters, E. 66–104. 50(1–2)[Crossref] , [Google Scholar]) conceptualizations of disorganization in infancy and controlling behavior in preschool forged new directions in attachment research. However, there currently is no valid coding system for behavioral manifestations of attachment after 7 years of age. The present study presents the validity of an instrument for coding both disorganized and role-reversed behavior from ages 7 to 9; the Middle Childhood Disorganization and Control (MCDC) scales. In the present study, 43 mother–child dyads at socio-economic risk, followed from infancy, were assessed on the MCDC at age 8. Analyses revealed that children with higher combined punitive/disorganized scores were significantly more likely to: (1) come from families referred for clinical home visiting because of concerns about the quality of the parent–infant relationships; (2) have higher scores for disorganization in infancy if from the clinically-referred subgroup; (3) are more likely to show disorganized representations; and (4) show higher externalizing and internalizing behavior problems. Higher caregiving MCDC scores were associated with more maternal withdrawal behavior in infancy. In conclusion, the present study provided the first validity data for an observational measure of disorganization and control in middle childhood.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".