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Record W2997481188 · doi:10.1558/jmbs.v1i2.11801

Bulgarian Consonant Acquisition in Preschoolers with Typical versus Protracted Phonological Development

2019· article· en· W2997481188 on OpenAlexaff
Barbara May Bernhardt, Diana Ignatova, Wendy Kwakye Amoako, N. Aspinall, Stefka H. Marinova-Todd, Joseph Paul Stemberger, Kazuya YOKOTA

Bibliographic record

VenueJournal of Monolingual and Bilingual Speech · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConsonantBulgarianSpeech recognitionLinguisticsFeature (linguistics)PsychologyComputer scienceVowel

Abstract

fetched live from OpenAlex

Previous research on Bulgarian consonant acquisition reports earlier acquisition of stops, nasals and glides than fricatives, affricates and liquids. The current study expands the investigation of Bulgarian consonant acquisition. The primary objective was to identify characteristics of protracted versus typical phonological development (PPD versus TD) relative to consonant match (accuracy) levels and mismatch patterns. A native speaker audio-recorded and transcribed single-word productions (110-word list) of sixty 3- to 5-year-olds (30 TD, 30 PPD). Another two transcribers confirmed transcriptions using acoustic analysis for disambiguation. Data generally confirmed previous findings regarding the order of consonant acquisition. Factors characteristic of PPD in comparison with TD were: lower match levels, especially at age 3 for onsets in unstressed syllables: later mastery of laterals; and a greater proportion and range of mismatch patterns, including deletion and more than one feature mismatch per segment (e.g., Manner & Place). The paper concludes with clinical and research implications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.762

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.285
Teacher spread0.267 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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