ANXIETY AND ATTACHMENT TO THE MOTHER IN PRESCHOOLERS RECEIVING PSYCHIATRIC CARE: THE FATHER–CHILD ACTIVATION RELATIONSHIP AS A PROTECTIVE FACTOR
Bibliographic record
Abstract
This 49-family study is the first to explore the father-child relationship in a clinical population of preschoolers (at a tertiary care child psychiatry clinic) and to examine its relation to child anxiety and attachment to the mother. A moderation model of the father-child activation relationship on the relation between attachment to the mother and child anxiety was tested and discussed. Analyses confirmed the expected independence between mother-child attachment and father-child activation as well as the association between mother-child attachment and anxiety. The highest levels of anxiety were found in insecure children, and more specifically, in insecure-ambivalent children and insecure disorganized-controlling children of the caregiving subtype. Hypotheses regarding the relation between anxiety and activation were only partially confirmed. Finally, the activation relationship with the father was shown to have a moderating effect on the relation between attachment to the mother and child anxiety; activation by the father may be considered either a protective or a risk factor. Results for this clinical population of young children are discussed in the light of attachment theory and activation relationship theory. The study's findings have the potential to contribute to the development of preventative, diagnostic, and intervention programs that take both parental figures into account.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.003 | 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".