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Record W4413337841 · doi:10.1017/s0025100325100662

Linguopalatal contact differences between Japanese geminates and singletons across different places and manners

2025· article· en· W4413337841 on OpenAlexafffund
Alexei Kochetov

Bibliographic record

VenueJournal of the International Phonetic Association · 2025
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyLinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This study uses electropalatography to examine linguopalatal contact differences between Japanese geminate and singleton consonants of various lingual places and manners of articulation. The analysis of over 8,000 tokens of these consonants produced by five Japanese speakers in three sets of stimuli (varying by the word lexical status, contrastive focus, and position within an utterance) showed significantly stronger constrictions for geminates of all places and manners, except for alveolopalatal fricatives. The geminate-singleton differences were the largest for alveolar and alveolopalatal nasals, while being the smallest for alveolopalatal affricates and velar stops. Durational differences between geminates and singletons were quite robust and tended to positively correlate with linguopalatal contact differences for most geminate and singleton consonants. No clear contact or durational differences were observed across the datasets, suggesting that the realization of the contrast is affected minimally by lexical status and position in the utterance. The findings for Japanese geminates are further discussed in the context of articulatory studies of similar contrasts in other languages.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.016
GPT teacher head0.338
Teacher spread0.322 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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