Zhang_Yu_2016_MDes_INCD_A Culturally Inclusive AAC App for Children with Autism in China
Bibliographic record
Abstract
Children with autism usually have problems with communication. Augmentative and Alternative Communication (AAC) tools are used to \nsupport these children. While several AAC apps are available in English, \nthere are just two AAC apps in Chinese with culturally relevant content. \nThrough this project, I created a prototype mobile AAC app for preschool children in China with text and audio in Mandarin and images relevant to Chinese culture (hosted at http://58.213.134.155:8888). I had the prototype evaluated by parents and caregivers of children with autism in a recovery centre in Nanjing, China. A number of suggestions for refinement were received, of which one has been implemented. I also studied the use of iPads by Chinese children with autism in Canada and China and found it to be less popular in China than in Canada. Future work plans include: (1) refinement of the app to make it usable by \nrecovery centres and parents; (2) development of a paper PECS system for Chinese children based on the illustrations created for the app.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".