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Record W2913390370 · doi:10.1017/s0025100318000439

Acoustic properties of vowels in Upper Necaxa Totonac

2019· article· en· W2913390370 on OpenAlexaff
Michelle García-Vega, Benjamin V. Tucker

Bibliographic record

VenueJournal of the International Phonetic Association · 2019
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFormantVowelPhonationDuration (music)Mid vowelStress (linguistics)AcousticsMathematicsSpeech recognitionLinguisticsAudiologyComputer sciencePhysicsMedicine

Abstract

fetched live from OpenAlex

Upper Necaxa Totonac is a Totonacan language spoken in the Necaxa River valley in the Sierra Norte of Puebla State, Mexico. While the Totonacan languages historically have three phonemic vowel qualities, the Upper Necaxa system consists of five vowels that contrast length and laryngealization. With acoustic data from six native speakers from the Totonacan communities of Patla and Chicontla, we explore the phonetic properties of vowels with respect to the first and second formant frequencies, quantity (duration), vowel phonation (modal vs. laryngeal), and stress. The data indicate that long, short, modal and laryngeal vowels occupy a similar formant space and that duration is the primary phonetic correlate of phonemic vowel length. A shift in vowel quality and an increase in duration and pitch were shown to be the acoustic characteristics of stress. The study provides a first acoustic analysis of vowels in Upper Necaxa, and contributes to typological descriptions of the properties of vowels connected with quality, quantity, stress, and phonation.

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 score0.314
Threshold uncertainty score0.980

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 science0.0010.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.287
Teacher spread0.272 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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