Dyadic coping trajectories across the transition to parenthood: Associations with child mental health problems.
Bibliographic record
Abstract
= 288 couples) at seven points of measurement (27th, 32nd week of pregnancy, 2nd, 14th, 40th week postpartum, 3- and 4-year postpartum) and children's emotional and behavioral problems from parent report (4-year postpartum) were used. Latent class growth analyses revealed that over half of the couples experienced a moderate decline in positive DC across the TTP (58%), whereas only fathers reported a decline among the remaining couples (42%). Fathers with a partner who maintained their level of positive DC reported more child emotional and behavioral problems than fathers whose partners' DC also decreased. Results for negative DC indicated two subgroups in which one partner maintained their initial level of negative DC (stable fathers: 10%, stable mothers: 23%), while the other increased. In most couples, both parents increased their negative DC (67%). Fathers reported more child emotional and behavioral problems if their negative DC increased across the TTP than if their negative DC remained stable regardless of the negative DC of their partner. The existence of different DC trajectory patterns needs to be considered in further research as well as prevention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".