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Record W2507507388 · doi:10.3765/plsa.v1i0.3730

Consonant effects on tonal registers in Jiashan Wu

2016· article· en· W2507507388 on OpenAlexaff
Bing’er Jiang, Jianjing Kuang

Bibliographic record

VenueProceedings of the Linguistic Society of America · 2016
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsMcGill University
FundersUniversity of Pennsylvania
KeywordsRegister (sociolinguistics)PhonationRealization (probability)ConsonantTone (literature)Breathy voiceSpeech recognitionMathematicsVowelAcousticsAudiologyLinguisticsComputer scienceStatisticsMedicinePhysics

Abstract

fetched live from OpenAlex

Breathy phonation is known as the primary cue of the “voiced” stops in Wu dialects, and is associated with the lower tonal register. This study discusses the phonetic realization of the tonal register of Wu dialects by measuring relative prominence of the first harmonic to some higher-frequency components in the spectrum, F0 and periodicity (CPP) of Jiashan Wu monosyllabic words. We find that in Jiashan Wu, the phonetic targets for tonal register contrasts are a steeper spectral-slope and a lower F0, which is consistent cross all consonant manners, while the articulatory realization varies among different types of consonants.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

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

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 head0.313
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2016
Admission routes1
Has abstractyes

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