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Record W4293799450 · doi:10.1080/02699206.2022.2050426

Protracted phonological development of a Portuguese six-year-old from the perspective of nonlinear phonology

2022· article· en· W4293799450 on OpenAlexaff
Ana Margarida Ramalho, Barbara May Bernhardt, Maria João Freitas

Bibliographic record

VenueClinical Linguistics & Phonetics · 2022
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhonologyLinguisticsPsychologyPerspective (graphical)Phonological developmentContext (archaeology)ConsonantPhonological ruleConsonant clusterPortugueseHierarchyHistoryArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

As a contribution to a special issue with individual profiles in protracted phonological development (PPD), we present a European Portuguese-speaking six-year-old, "Vicente". By age six years, Portuguese-learning children have generally mastered most of the phonology. However, Vicente showed severe persisting PPD, which was negatively impacting his general socialisation. Although word length and stress often matched the adult targets as did many consonants and vowels, consonants were restricted in distribution and sequences. Consonant clusters showed a particularly high proportion of reduction. A constraints-based nonlinear phonological analysis led to a proposed intervention plan to address needs across the phonological hierarchy in the context of his greater need for enhanced socialisation: starting with the more attainable new word positions and sequences for consonants in his inventory, before addressing a major need for new word structure (clusters) and minor needs for segmental development (additional coronals).

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
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 science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.099
GPT teacher head0.419
Teacher spread0.320 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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