Towards Advancing Knowledge Translation of AAC Outcomes Research for Children and Youth with Complex Communication Needs
Bibliographic record
Abstract
The production of new knowledge in augmentative and alternative communication (AAC) requires effective processes to leverage the different perspectives of researchers and knowledge users and improve prospects for utilization in clinical settings. This article describes the motivation, planning, process, and outcomes for a novel knowledge translation workshop designed to influence future directions for AAC outcomes research for children with complex communication needs. Invited knowledge users from 20 pediatric AAC clinics and researchers engaged in the collaborative development of research questions using a framework designed for the AAC field. The event yielded recommendations for research and development priorities that extend from the early development of language, communication, and literacy skills in very young children, to novel but unproven strategies that may advance outcomes in transitioning to adulthood.
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 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 | 0.251 | 0.299 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.004 | 0.021 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".