Canadian manufacturer and technician perspectives on the design and use of augmentative and alternative communication technology
Bibliographic record
Abstract
PURPOSE: Device manufacturers and technicians (MaTs) of augmentative and alternative communication (AAC) systems play key roles in the design and successful uptake of communication devices. This study aims to investigate MaT perspectives on AAC device design and effective use. MATERIALS AND METHODS: To investigate their perspectives, a focus group of MaTs within Canada was conducted. Reflexive thematic analysis was used to analyze data. FINDINGS: Three major themes resulted from analysis, which reflect MaT's views: AAC hardware and software flexibility, AAC knowledge and implementation, and social good versus financial resources. CONCLUSIONS: This study provides insights into the complexities faced by MaTs in balancing technical support of system end-users and the financial resources necessary for that support. These insights indicate a need for increased financial resources and the expansion of individuals who qualify for AAC system candidacy. MaTs suggest that an increase in resources and candidacy could lead to more successful AAC implementation and a greater understanding of AAC for all stakeholders.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".