Prenatal Predictors of Maternal-infant Attachment
Bibliographic record
Abstract
BACKGROUND.: Increasingly, occupational therapists are working with women in the perinatal period, including supporting the developing mother-child relationship. PURPOSE.: To examine prenatal predictors of maternal-infant attachment (maternal-fetal attachment, sensory patterns, adult attachment, perinatal loss, and mental health) that may provide possible avenues for assessment and intervention by occupational therapists. METHOD.: tests, correlations, and multivariate regression models were conducted. FINDINGS.: Low threshold maternal sensory patterns, more insecure adult attachment, and poorer quality of maternal-fetal attachment were each correlated with less optimal maternal-infant attachment. Quality of prenatal attachment was the best predictor of overall postnatal attachment in multivariate regression models. IMPLICATIONS.: Occupational therapists working in a range of clinical settings (e.g., mental health, substance use, and perinatal care) may work with women during pregnancy to promote their relationship with their developing baby in utero and after birth.
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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 | 0.010 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".