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Record W4206530540 · doi:10.1017/s0025100321000323

Voiceless nasals in the Ikema dialect of Miyako Ryukyuan

2022· article· en· W4206530540 on OpenAlexaff
C. Lawrence Ford, Benjamin V. Tucker, Tsuyoshi Ono

Bibliographic record

VenueJournal of the International Phonetic Association · 2022
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsVoiceBreathy voicePhonationLinguisticsAcousticsPsychologyAudiologyPhysicsMedicinePhilosophy

Abstract

fetched live from OpenAlex

Voiceless nasal consonants are typologically rare in the world’s languages. The present study investigates the acoustic realization of reported voiceless nasals in the Miyako Ryukyuan dialect Ikema. Voiceless nasals in Ikema occur word-initially and word-medially as part of a geminate or consonant cluster, and are phonemically distinct from modal voiced nasals. Initial observation of collected recordings revealed many instances of the voiceless phoneme with voicing throughout, leading to a re-evaluation of previous claims about its phonetic implementation. We hypothesized that word-medial and phrase-medial voiceless nasals surface as breathy voiced nasals. We analyzed the acoustic characteristics of nasal components of target words, focusing on duration, phonation state, and cepstral peak prominence (CPP), to determine whether reported voiceless nasal phonetic components with voicing are acoustically distinct from modal voiced nasal consonants. We find that voiceless nasals are produced with a voiceless component followed by a modal voiced component. Voiceless components and breathy components are found to be significantly shorter than modal components. We also find a significant difference between modal nasal, breathy nasal and voiceless nasal components’ CPP values. The results confirm the observation that Ikema voiceless nasals are phonemically distinct from modal nasal consonants, and likely allophonically vary with breathy voiced nasals word-medially and phrase-medially. These findings align with the hypothesis that voiceless nasals require some voicing to be audible for perception, and are consistent with cross-linguistic findings, contributing to the typological understanding of the acoustics of voiceless nasals.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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