MétaCan
Menu
Back to cohort
Record W2108949140 · doi:10.1017/s0952675713000110

Articulatory mapping of Yoruba vowels: an ultrasound study

2013· article· en· W2108949140 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhonology · 2013
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsYorubaArticulation (sociology)VowelPlace of articulationFeature (linguistics)TongueManner of articulationDistinctive featureSpeech recognitionPhoneticsRoot (linguistics)LinguisticsMathematicsComputer scienceConsonant

Abstract

fetched live from OpenAlex

This paper examines the articulation of harmonically distinct classes of vowels in Standard Yoruba. There has been considerable disagreement as to whether the distinction between [e o] and [∊ ɔ] is one of vowel height or tongue-root advancement/retraction. This paper reports on an ultrasound investigation of Yoruba vowels. Results are consistent with harmonic classes distinguished by a tongue-root advancement/retraction feature, not by vowel height. We also investigate the relation between articulations of the tongue root and its neutral position between utterances, the inter-speech posture (ISP). We find more variability in ISP-to-articulation mapping than previous studies, but our results are still partially compatible with a postulated correlation between phonologically ‘active’ feature values and articulatory displacement from ISP. Overall, our results support an analysis of Yoruba vowels in terms of a tongue-root feature, and provide insight into the mapping between phonetics and phonology.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0080.002

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 head0.060
GPT teacher head0.352
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