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Record W3137138029 · doi:10.1044/2020_jslhr-20-00374

Compensation to Altered Auditory Feedback in Children With Developmental Language Disorder and Typical Development

2021· article· en· W3137138029 on OpenAlexaff
Caitlin Coughler, Emily M. Hamel, Janis Oram Cardy, Lisa M. D. Archibald, David W. Purcell

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of British ColumbiaWestern University
Fundersnot available
KeywordsAuditory feedbackPsychologyFormantAudiologyVowelTypically developingLanguage developmentSpeech productionSpeech perceptionAuditory perceptionDevelopmental psychologyPerceptionSpeech recognitionNeuroscienceMedicineComputer scienceAutism

Abstract

fetched live from OpenAlex

Purpose Developmental language disorder (DLD), an unexplained problem using and understanding spoken language, has been hypothesized to have an underlying auditory processing component. Auditory feedback plays a key role in speech motor control. The current study examined whether auditory feedback is used to regulate speech production in a similar way by children with DLD and their typically developing (TD) peers. Method Participants aged 6-11 years completed tasks measuring hearing, language, first formant (F1) discrimination thresholds, partial vowel space, and responses to altered auditory feedback with F1 perturbation. Results Children with DLD tended to compensate more than TD children for the positive F1 manipulation and compensated less than TD children in the negative shift condition. Conclusion Our findings suggest that children with DLD make atypical use of auditory feedback.

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)0.001
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 score0.224
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

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

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 head0.036
GPT teacher head0.359
Teacher spread0.324 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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