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Record W3205834903 · doi:10.1080/02699206.2021.1988147

Consonants lost: a Swedish girl with protracted phonological development

2021· article· en· W3205834903 on OpenAlexaff
Inger Lundeborg Hammarström, Joseph Paul Stemberger

Bibliographic record

VenueClinical Linguistics & Phonetics · 2021
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsObstruentSyllablePhonologyConsonantConsonant clusterLinguisticsPsychologyWord (group theory)Phonological developmentStress (linguistics)Phonological ruleSpeech recognitionVoiceComputer scienceVowel

Abstract

fetched live from OpenAlex

This paper addresses the phonology of a Swedish girl, aged 3 years 10 months, with extensive phonological difficulties that include an unusual phonological pattern. She had relatively well-developed phonological building blocks in terms of features, stress pattern and word length (number of syllables), but had extensive difficulties regarding syllable and word shapes, with frequent deletions of both segments and whole syllables. Word-initial position was dominated by non-continuant consonants, both voiced and voiceless, with extensive deletion. Word-medial position was dominated by voiceless obstruents, with extensive use of [j] in place of voiced consonants. Word-final position was similar to word-medial, but with more deletion than [j]. Non-initial stressed syllables resemble word-initial syllables. Consonant clusters mirrored singletons, i.e. with similar substitution patterns or deletions. We present a non-linear analysis of her speech production, and a plan for intervention targeting her 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 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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.128
GPT teacher head0.438
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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