Transforming faces: Supporting second language learners studying speech-language therapy in global contexts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The Transforming Faces project is a partnership of speech-language therapy (SLT) educators and practitioners that is co-creating a computer-based series of lecture modules for use in Low Middle Income Countries (LMICs). The initial series of lectures is in English, for use by English speaking instructors and students whose first language is not English. Making the technically challenging and content-specific language of the lectures more accessible and comprehensible to students was the focus of this study. A review of literature from three areas of language learning led to recommendations for consideration in the development of the computer-based lectures modules, and the subsequent piloting of the modules in Addis Ababa, Ethiopia. Following the three-week pilot project, analysis of feedback from the instructor and the students resulted in a number of recommendations for the continued development and implementation of the dysphagia lectures, as well as potential future SLT courses in other global contexts.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it