Tensions in Maternal Care for Children, Youth, and Adults With Autism Spectrum Disorder
Bibliographic record
Abstract
This study explored the experiences of mothers caring for an individual with autism spectrum disorder (ASD) ranging from 5 to 25 years of age, and examined pervasive tensions in caregiving. Guided by ethnographic methods, a retrospective cross-sectional study was conducted. Interviews with 85 mothers were analyzed inductively. Prevalent tensions in maternal caregiving were identified: (a) difficulties obtaining, yet resistance to, an ASD diagnosis; (b) identified giftedness of the child versus notions of deficit imposed by others; (c) disability-related behaviors erroneously interpreted as 'poor parenting'; (d) contradictory considerations in diagnosis disclosure; (e) the invisibility yet pervasiveness of ASD; (f) extensive need for, yet the lack of, accessible services; (g) ASD-related care demands versus other pressing responsibilities; (h) arguments for inclusive versus exclusive services; and (i) aims of nurturing independence versus managing safety risk. Tensions were heightened by insufficient supports relative to need. Implications and recommendations for practice and policy are offered.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".