Strategies for Teachers to Manage Stuttering in the Classroom: A Call for Research
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
Purpose: This clinical focus article highlights the need for future research involving ways to assist children who stutter in the classroom. Method: The 4 most commonly recommended strategies for teachers were found via searches of electronic databases and personal libraries of the authors. The peer-reviewed evidence for each recommendation was subsequently located and detailed. Results: There are varying amounts of evidence for the 4 recommended teacher strategies outside of the classroom, but there are no data for 2 of the strategies, and minimal data for the others, in a classroom setting. That is, there is virtually no evidence regarding whether or not the actions put forth influence, for example, stuttering frequency, stuttering severity, participation, or the social, emotional, and cognitive components of stuttering in the classroom. Conclusion: There is a need for researchers and speech-language pathologists in the schools to study the outcomes of teacher strategies in the classroom for children who stutter.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it