Exploration of the links among fathers' unresolved states of mind with respect to attachment, atypical paternal behavior, and disorganized infant–father attachment
Bibliographic record
Abstract
Atypical maternal behavior has consistently been identified as a precursor of disorganized infant-mother attachment, but to date, no research has examined the role of atypical paternal behavior in the development of disorganized infant-father attachment. This study aims to enhance our understanding and conceptualization of infant-father attachment by examining the role of fathers' unresolved states of mind and the display of atypical paternal behavior in the development of disorganized infant-father attachment. Thirty-one middle-class couples participated in this study. Maternal and paternal Adult Attachment Interviews (C. George, N. Kaplan, & M. Main, 1996) were completed prenatally and at infant age 6 months, respectively. Infant-mother and infant-father dyads participated in the Strange Situation paradigm (M. Ainsworth, M. Blehar, E. Waters, & S. Wall, 1978) when the infants were 12 and 18 months of age, respectively. The Atypical Maternal Behavior Instrument for Assessment and Classification (E. Bronfman, E. Parsons, & K. Lyons-Ruth, 1999) was used to assess maternal and paternal behavior during the Strange Situation. Maternal states of mind regarding attachment predicted infant-mother attachment relationships, and paternal states of mind predicted infant-father attachment relationships. Atypical maternal behavior was associated with infant-mother disorganized attachment; however, atypical paternal behavior did not predict infant-father disorganized attachment. Thus, it is possible that other factors, yet to be uncovered, might contribute to the development of infant-father disorganized 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".