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Record W4293104158 · doi:10.1080/02699206.2022.2055495

Idiosyncratic consonant clusters: a Farsi-speaking child with protracted phonological development

2022· article· en· W4293104158 on OpenAlexaff
Froogh Shooshtaryzadeh, Joseph Paul Stemberger

Bibliographic record

VenueClinical Linguistics & Phonetics · 2022
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVoiceObstruentPsychologyPhonologyPhonological developmentLinguisticsConsonant clusterPhonological DisorderConsonantPhonological ruleSpeech productionVowel

Abstract

fetched live from OpenAlex

This study presents a nonlinear phonological analysis of speech data from a Farsi-speaking child with protracted phonological development (aged 4;8) with very low accuracy on consonants. Results revealed some common phenomena (fricatives produced as stops; dorsals and non-anterior coronals produced as anterior coronals) and some uncommon phenomena (nasals produced as oral stops; voicing and devoicing of singleton obstruents in all word positions). These phenomena interacted in word-medial clusters to create an unusual sequence of two anterior-coronal or two bilabial stops, with C1 voiced and C2 voiceless, clusters which do not occur in the basic phonology of Farsi spoken by adults. We present a non-linear constraints-based analysis of the child's speech production and a plan for intervention targeting the child's special difficulties.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.084
GPT teacher head0.391
Teacher spread0.307 · 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 designCase report
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

Citations2
Published2022
Admission routes1
Has abstractyes

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