MétaCan
Menu
Back to cohort
Record W4404153724 · doi:10.1080/17549507.2024.2420597

Contemporary clinical conversations about stuttering: How clinically important is mental health during management of early stuttering?

2024· article· en· W4404153724 on OpenAlexaff
Sarah Delpeche, Ross G. Menzies, Katerina Ntourou, Ashley Saunders, Mark Onslow

Bibliographic record

VenueInternational Journal of Speech-Language Pathology · 2024
Typearticle
Languageen
FieldPsychology
TopicStuttering Research and Treatment
Canadian institutionsThe Speech and Stuttering InstituteUniversity of Alberta
Fundersnot available
KeywordsStutteringMental healthPsychologyMedicineDevelopmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.054
GPT teacher head0.445
Teacher spread0.391 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Speech-Language PathologySame topicStuttering Research and TreatmentFrench-language works237,207