Contemporary clinical conversations about stuttering: How clinically important is mental health during management of early stuttering?
Bibliographic record
Abstract
PURPOSE: To discuss how clinically important mental health is during management of early stuttering. To inform early-career clinicians and students of speech-language pathology about contemporary views on this issue. METHOD: The issue was discussed by three speech-language pathologists and a clinical psychologist. Written conversational turns in an exchange were limited to 100 words each. When that written dialogue was concluded, the moderator summarised the discussion. RESULT: All agreed that it is essential to take account of mental health during management of early stuttering. CONCLUSION: The following key points were raised: a) There is a prominent risk that a child with early stuttering will be or will become socially anxious, b) parent anxiety is a clinical consideration, c) support and counselling of children and parents needs to be within the scope of speech-language pathology practice, and d) referral of a child or parent, or both, to a clinical psychologist may be required, facilitated by formal testing if needed.
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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 | 0.023 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.002 | 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".