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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 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)0.003
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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; 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

Citations1
Published2021
Admission routes1
Has abstractyes

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