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Record W4376871814 · doi:10.1044/2023_aja-22-00153

Screening for Auditory Processing Disorder in French-Speaking School-Age Children: A Pilot Study

2023· article· en· W4376871814 on OpenAlexaff
Fauve Duquette-Laplante, Jérémie Duval, Marie-Pier Pelletier, Patricia Darche, Adrián Fuente, Benoı̂t Jutras

Bibliographic record

VenueAmerican Journal of Audiology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineUniversity of Ottawa
Fundersnot available
KeywordsAudiologyScreening testTest (biology)MedicinePediatrics

Abstract

fetched live from OpenAlex

OBJECTIVES: A few clinical screening tools for auditory processing disorder (APD) are currently available. However, most of these tools are in English and cannot be used to screen individuals with a first language other than English. This study aimed to develop an APD screening test battery in French and to assess its psychometric properties in detecting school-age children at risk of APD. METHOD: Prior to their complete audiological APD assessment, 53 children (7-12 years old) were recruited from an audiology clinic. The APD assessment lasted between 2 and 3 hr, including 15-20 min for the screening test battery. The screening test battery was composed of four behavioral subtests and two questionnaires (parent and teacher). RESULTS: When combined, two among the four behavioral subtests showed a sensitivity of 100% and a specificity of 80%. CONCLUSION: The newly developed screening tool could help reduce the number of unnecessary APD assessments, therefore allowing early diagnosis in children with APD and increasing their chances of receiving adequate intervention.

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)0.003
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 score0.149
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.329
Teacher spread0.277 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of AudiologySame topicHearing, Cochlea, Tinnitus, GeneticsFrench-language works237,207