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Record W4293833935 · doi:10.1080/02699206.2021.2025432

When codas trump onsets: an English-speaking child with atypical phonological development before and after intervention

2022· article· en· W4293833935 on OpenAlexafffund
Stephanie Chung, Barbara May Bernhardt, Joseph Paul Stemberger

Bibliographic record

VenueClinical Linguistics & Phonetics · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of British Columbia
FundersBritish Columbia Medical Services Foundation
KeywordsPsychologyConsonantVowelWord (group theory)AudiologyPhonologyLinguisticsIntervention (counseling)Phonological developmentMedicine

Abstract

fetched live from OpenAlex

This case study presents an English-speaking preschooler with severely protracted phonological development (PPD) before and after two six-week blocks of intervention (36 sessions). Pre-treatment (3;8), he showed very low whole word, singleton consonant, vowel, and word shape matches. He had two major uncommon patterns: (1) higher accuracy for word-final consonants compared with word-initial (WI) and word-medial (WM); and (2) frequent substitution of onset consonants with glottals [h] or [ʔ]. Goals and treatment strategies were selected using a nonlinear phonological approach. Post-treatment, there was a notable decrease in frequency of glottal substitutions and concomitant increase in word shape, consonant, and vowel match. Pre- and post-treatment data are presented and discussed in terms of theoretical and clinical 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 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.023
GPT teacher head0.326
Teacher spread0.302 · 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 routes2
Has abstractyes

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