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Record W1993404773 · doi:10.1159/000084159

Language-Specific Articulatory Settings: Evidence from Inter-Utterance Rest Position

2004· article· en· W1993404773 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhonetica · 2004
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Deafness and Other Communication DisordersNatural Sciences and Engineering Research Council of CanadaNational Institutes of Health
KeywordsArticulatorRest (music)UtteranceVocal tractVowelComputer sciencePhonologySpeech recognitionPhoneticsPosition (finance)LinguisticsPsychologyAcousticsMedicine

Abstract

fetched live from OpenAlex

The possible existence of language-specific articulatory settings (underlying or default articulator positions) has long been discussed, but these have proven elusive to direct measurement. This paper presents two experiments using X-ray data of 5 English and 5 French subjects linking articulatory setting to speech rest position, which is measurable without segmental interference. Results of the first experiment show that speech rest position is significantly different across languages at 5 measurement locations in the vocal tract, and is similar to previously described language-specific articulatory settings. The second experiment shows that the accuracy of achievement of speech rest position is similar to that of a specified vowel target (/i/). These results have implications for the phonetics and phonology of neutral vowels, segmental inventories, and L2 acquisition.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.998

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)0.0030.005

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 head0.033
GPT teacher head0.338
Teacher spread0.305 · 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