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Record W2001401147 · doi:10.1044/nnsld11.4.5

PROMPT Treatment Method and Apraxia of Speech

2001· article· en· W2001401147 on OpenAlexaffabout
Arpita Bose, Paula A. Square

Bibliographic record

VenuePerspectives on Neurophysiology and Neurogenic Speech and Language Disorders · 2001
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAphasiaApraxiaPsychologySpeech therapyLinguisticsMedicineAudiologyCognitive psychologyPhilosophy

Abstract

fetched live from OpenAlex

No AccessPerspectives on Neurophysiology and Neurogenic Speech and Language DisordersArticle1 Dec 2001PROMPT Treatment Method and Apraxia of Speech Arpita Bose and Paula A. Square Arpita Bose University of TorontoToronto, Canada Google Scholar More articles by this author and Paula A. Square University of TorontoToronto, Canada Google Scholar More articles by this author https://doi.org/10.1044/nnsld11.4.5 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References Bose, A., Square, P. A., Schlosser, R., & van Lieshout, P. (2001). Effects of PROMPT Therapy on speech motor function in a person with aphasia and apraxia of speech. Aphasiology, 15, 767–785. Google Scholar Chumpelik, D. A. (1984). The PROMPT system of therapy. Seminars in Speech and Language, 5, 139–156. Google Scholar Freed, D. B., Marshall, R. C., & Frazier, K. E. (1997). Long term effectiveness of PROMPT treatment in a severely apractic-aphasic speaker. Aphasiology, 11, 365–372. Google Scholar Hayden, D., & Square, P. A. (1994). Motor speech treatment hierarchy: A systems approach. Clinics in Communication Disorders, 4, 162–174. Google Scholar Hayden, D. (1999). PROMPT manual level 1 and 2. Santa Fe, NM: PROMPT Institute. Google Scholar McNeil, M. R., Doyle, P. J., & Wambaugh, J. L. (2000). Apraxia of speech: A treatable disorder of motor planning and programming. In S. E.Nadeau, L. J.Gonzalez Rothi, & B.Crosson (Eds.), Aphasia and language: Theory to practice (pp. 221–266). New York: Guilford Press. Google Scholar Sparks, R., & Deck, J. (1986). Melodic intonation therapy. In R.Chapey (Ed), Language intervention strategies in adult aphasia (pp. 320–332). Baltimore, MD: Williams & Wilkins. Google Scholar Square, P. A., Chumpelik, D., & Adams, S. (1985). Efficacy of the PROMPT system of therapy for the treatment of acquired apraxia of speech. In R.Brookshire (Ed.), Clinical aphasiology (Vol. 15, pp. 319–320). Minneapolis, MN: BRK. Google Scholar Square, P. A., Chumpelik, D., Morningstar, D., & Adams, S. (1986). Efficacy of the PROMPT system of therapy for the treatment of acquired apraxia of speech: a follow up investigation. In R.Brookshire (Ed.). Clinical aphasiology (Vol. 16, pp. 221–226). Minneapolis, MN: BRK. Google Scholar Square, P. A., Martin, R. E., & Bose, A. (2001). The nature and treatment of neuromotor speech disorders in aphasia. In R.Chapey (Ed), Language intervention strategies in aphasia and related neurogenic communication disorders (pp. 847–884). Baltimore, MD: Lippincott, Williams & Wilkins. Google Scholar Square, P. A., Roy, E. R., & Martin, R. E. (1997). Apraxia of speech: another form of praxis disruption. In L. J. G.Rothi & K. M.Heilman (Eds.), Apraxia: The neuropsychology of action (pp. 173–206). Erlbaum, UK: Psychology Press Google Scholar Square-Storer, P. A., & Hayden, D. (1989). PROMPT treatment. In P. A.Square-Storer (Ed.), Acquired apraxia of speech in aphasic adults (pp. 190–219). UK: Lawrence Erlbaum. Google Scholar Yorkston, K., & Beukelman, D. (1981). Assessment of intelligibility of dys-arthric speech. Tigard, Oregon: C.C. Publications. Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 11Issue 4December 2001Pages: 5-8 Get Permissions Add to your Mendeley library History Published in issue: Dec 1, 2001 Metrics Downloaded 311 times Topicsasha-sigsasha-topicsasha-article-typesCopyright & Permissions© 2001 American Speech-Language-Hearing AssociationLoading ...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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.

Study designBench or experimental
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

Citations3
Published2001
Admission routes2
Has abstractyes

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