Narratives: Neurodivergent Children
Bibliographic record
Abstract
Introduction: Without a care coordination mechanism, caregivers of neurodivergent children coordinate care across various complex systems in addition to caregiving responsibilities. This study aimed to understand the needs of families with neurodivergent children before entering a care coordination program. Methods: Using a convergent parallel design close-ended questionnaires and semi-structured interviews captured caregiver-reported quality of life, care integration, and resource use of 67 families. Results: Over 50% of respondents lacked access to neurodiversity related support services mainly due to information and coordination challenges. Caregivers were excluded from care planning and dealt with a fragmented system. Financial losses, social isolation, and mental health issues caused by lack of support, negatively impacted caregiver quality of life. Discussion: To improve quality of life outcomes for this demographic, this study recommends that implementing a care coordination program needs to consider the high health, educational, and social needs of families with neurodivergent children.
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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 | 0.002 | 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 | 0.005 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".