Marital satisfaction and life circumstances of grown children with autism across 7 years.
Bibliographic record
Abstract
We examined the extent to which marital satisfaction across 7 years in 199 mothers was associated with the characteristics (gender, age, and intellectual disability status) of their adolescent or adult child with an autism spectrum disorder (ASD) and whether fluctuations in marital satisfaction covaried with the child's autism symptoms, health, behavior problems, and closeness in the parent-child relationship. We also examined the impact of the departure of the adult child out of the family home on mothers' marital satisfaction. The effect of family context variables including the presence of an additional child with a disability, maternal education, and household income on marital satisfaction were also examined. We found that closeness in the mother-child relationship and household income had a significant effect on level of marital satisfaction, and that variability in the slope of mothers' marital satisfaction was significantly predicted by fluctuations in the behavior problems of the adolescent or adult child with an ASD. The grown child's departure out of the family home was not related to change in marital satisfaction. Interventions aimed at managing the behavior problems of adolescents and adults with ASDs may help strengthen parents' marital relationship.
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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 | 0.005 |
| 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) | 0.001 | 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".