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Record W4406873715 · doi:10.1080/02699206.2025.2456214

From practice to protocol: The CAPE-V <sub>FQ</sub> by and for Quebec French SLPs

2025· article· en· W4406873715 on OpenAlexaffabout
Timothy Pommée, Lyne Defoy, Ingrid Verduyckt

Bibliographic record

VenueClinical Linguistics & Phonetics · 2025
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyProtocol (science)CapeHumanitiesLinguisticsGeographyMedicineArchaeologyArtPhilosophy

Abstract

fetched live from OpenAlex

), a standardised protocol for evaluating voice quality. Developed through collaboration within the Quebec Voice Speech-Language Pathologist (SLP) Community of Practice, the adapted tool addresses linguistic and cultural nuances specific to Quebec French. This adaptation ensures standardised assessments and harmonises clinical and research practices across the province. The article outlines the iterative development process, including clinician feedback, and describes ongoing efforts to validate and support the use of the Quebec French CAPE-V in clinical settings. The adapted protocol serves as both a clinical tool and a reference point for future research, promoting reliable and culturally relevant voice assessments.

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)0.082
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.279
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.082
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 integrity0.0000.001
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 head0.029
GPT teacher head0.421
Teacher spread0.392 · 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 designNot applicable
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
Published2025
Admission routes2
Has abstractyes

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