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Record W2101307193 · doi:10.1080/02699200500114028

Ultrasound in speech therapy with adolescents and adults

2005· article· en· W2101307193 on OpenAlexafffund
Barbara May Bernhardt, Bryan Gick, Penelope Bacsfalvi, Marcy Adler‐Bock

Bibliographic record

VenueClinical Linguistics & Phonetics · 2005
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsHabilitationPsychologyAudiologySpeech therapyUltrasoundMedicineArt

Abstract

fetched live from OpenAlex

The present paper comprises an overview of techniques using ultrasound in speech (re)habilitation. Ultrasound treatment techniques have been developed for English lingual stops, vowels, sibilants, and liquids. These techniques come from a series of small n studies with adolescents and adults with severe hearing impairment, residual speech impairment or accented speech at the Interdisciplinary Speech Research Laboratory at the University of British Columbia. Ultrasound allows excellent visualization of tongue shape features, which is especially useful for feedback during speech (re)habilitation. Further research is needed to evaluate the efficacy of ultrasound in speech (re)habilitation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.051
GPT teacher head0.408
Teacher spread0.357 · 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 source (direct Gemma or distilled Codex), 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

Citations105
Published2005
Admission routes2
Has abstractyes

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