Beyond the dyad: do family interactions influence children's attachment representations in middle childhood?
Bibliographic record
Abstract
This study examines the influence of mother-child and family interactions on the development of child attachment representations in middle childhood for a sample of 49 families. Mother-child interactions were observed during a snacktime in a lab setting (Moss, Rousseau, Parent, St-Laurent, & Saintonge, 1998) when children were 5-6 years old. Three years later, children's attachment representations were assessed using a doll play narrative procedure (Solomon, George, & DeJong, 1995) in the lab setting. Within 6 months of the second lab visit, family interactions were filmed during mealtime and coded using the Mealtime Interaction Coding System (MICS; Dickstein, Hayden, Schiller, Seifer, & San Antonio, 1994). Results showed clear differences between attachment groups on quality of mother-child and family interaction with the secure/confident group showing highest and the disorganized/frightened group showing lowest quality interactions. Family interactions predicted children's attachment representations, after controlling variance explained by prior mother-child interactions.
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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 | 0.004 |
| 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 | 0.001 |
| 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".