Attachment at Early School Age and Developmental Risk: Examining Family Contexts and Behavior Problems of Controlling-Caregiving, Controlling-Punitive, and Behaviorally Disorganized Children.
Bibliographic record
Abstract
Preschool to school-age trajectories of 242 children, including 37 with insecure-disorganized and 66 with insecure-organized attachment patterns, were examined. Child attachment and stressful life events (the latter retrospectively) were measured at ages 5-7, and mother-child interactive quality, parenting stress, marital satisfaction, and teacher-reported behavior problems were evaluated concurrently and 2 years earlier. Results indicated that all three disorganized subgroups had poorer mother-child interactive patterns and more difficult family climates than secure or insecure-organized children. The controlling-punitive group showed significant increases in maternal reports of child-related stress between preschool and school age. The controlling-caregiving group showed greater likelihood of loss of a close family member, and mothers of the insecure-other group reported lower marital satisfaction and greater likelihood of their own or a spouse's hospitalization. Controlling-punitive children had higher externalizing scores, and controlling-caregiving children higher internalizing scores, than secure children.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".