Developing a Profile of Canadian Children With Cerebral Palsy Who Require Augmentative and Alternative Communication
Bibliographic record
Abstract
PURPOSE: Cerebral palsy (CP) is the most prevalent motor disability affecting children. Many children with CP have significant speech difficulties and require augmentative and alternative communication (AAC) to participate in communication. Despite demonstrable benefits, the use of AAC systems among children with CP remains constrained, although research in Canada is lacking. METHOD: 60) who shared their perspectives on children's need for, access to, and use of AAC systems. Quantitative data were summarized using descriptive statistics. Qualitative data were analyzed using inductive content analysis. RESULTS: Caregivers and clinicians reported high rates of need for AAC systems (> 75%) among children with CP. Both groups reported that access was roughly equivalent to need, although caregiver reports were lower. Despite high rates of need and access, only 38% of children used AAC systems. Children who used AAC primarily used high-tech systems, mostly to make choices, rather than engaging in meaningful reciprocal interactions and conversations. CONCLUSIONS: Canadian children with CP who required AAC systems generally received them. However, AAC systems were not used to their full potential, suggesting limited participation in social and learning situations. Like reports on other pediatric populations, barriers to obtaining AAC systems related to service, family, and child-specific factors. Although our sample captured the complexity present in the CP population, sample sizes were small and unlikely to be representative of the population of Canada, indicating the need for further research on a national scale. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.28229720.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".