Is it all bad? Rewards and challenges of mothering children with hidden disabilities
Bibliographic record
Abstract
Little is known about mothering children with hidden disabilities affecting behaviour, so social workers can underestimate their impact. As research emphasizes negative outcomes, this study examined mothering rewards and challenges, along with influence of caregiving, family, work, demographic factors, perceived demands and supports. Survey participants were 197 employed Canadian mothers of children with ADHD and related disabilities. Rewards came from children's special qualities, progress despite disability and mothers’ personal growth. Half the challenges arose from children's behaviour, others from school, organizational and family conflict problems. Higher rewards were predicted by mothers’ education, fewer children, support (overall, school professionals). Nearly half the variance in challenges was explained by 4 predictors: combined ADHD subtype, perceived family demands, overall and health professional support. Social workers can point out rewards, recognize difficulties, reframe perceived demands, advocate for increased formal support and acceptance. Further research is needed on family impact of disability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".