Predicting family adjustment and parenting stress in childhood disability services using brief assessment tools
Bibliographic record
Abstract
Background The utility of two “psychosocial sensor measures” was explored for triage use in childhood disability services to detect households at longer‐term risk for parent and family distress.Method Approximately 6 months after entering childhood disability services, mothers and fathers in 111 Canadian families with a young child with a developmental or cognitive disability identified their family service needs and parenting morale. One year later parents completed standardised measures of parenting stress and family adjustment.Results Two brief measures assessing family counselling needs and parenting morale detected longer‐term family maladjustment from the independent perspectives of mothers and fathers. Although mothers' parenting stress in the longer‐term was detected by the set of measures, fathers' parenting stress was only detected by their parenting morale.Conclusions Brief empirical measures with high face validity may facilitate the process of assessment of service needs, and may help in the early identification of families with higher priority for psychosocial family support resources in childhood disability services.
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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".