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Record W1879309728

Pharyngeal /h/ in Japanese

2011· article· en· W1879309728 on OpenAlexafffundvenue
Noriko Yamane, Bryan Gick, Douglas Pulleyblank

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsArticulation (sociology)Stress (linguistics)Categorical variablePlace of articulationSpeech recognitionManner of articulationFeature (linguistics)PhonationAmbiguityNatural (archaeology)PsychologyLinguisticsAudiologyComputer scienceAcousticsMathematicsHistoryStatisticsPhysicsMedicineVowelConsonant
DOInot available

Abstract

fetched live from OpenAlex

A lingual ultrasound study that was conducted to test whether Japanese h shows evidence of an independent pharyngeal place of articulation is presented. Seven native speakers of standard Japanese participated in the experiment. All stimuli were pseudo words, phonologically and morphologically controlled. Recording was conducted in the Interdisciplinary Speech Research Laboratory at the University of British Columbia. Participants were trained to read all tokens with initial-accent at a natural rate. The possibility of multiple possible feature specifications as above may come from the phonetic ambiguity of h. It is classically dubbed as 'fricative,' implying it behaves like consonants, but could be 'glide.' Interestingly, although the multiple resolutions are available, the individual choice is found to be discrete and categorical.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.076
GPT teacher head0.312
Teacher spread0.237 · 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 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

Citations1
Published2011
Admission routes3
Has abstractyes

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