MétaCan
Menu
Back to cohort
Record W197770491 · doi:10.21437/eurospeech.2001-90

Pre-liquid excrescent schwa: what happens when vocalic targets conflict

2001· article· en· W197770491 on OpenAlexaff
Bryan Gick, Ian Wilson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSchwaSyllableCodaVowelPerceptComputer scienceDuration (music)Closure (psychology)Speech recognitionLinguisticsPsychologyAcousticsPhysics

Abstract

fetched live from OpenAlex

Sequences of high tense vowel + liquid in English often result in the percept of an intervening schwa, as in, e.g., heel, hail, hire. We argue in this paper that this apparent schwa is simply the incidental acoustic result of the tongue moving through “schwa-space ” (a schwa-like position) during the transition between conflicting tongue root targets. This conflict bears on both articulatory timing relationships in syllable codas and tongue root specification for tense vowels. We present two experiments: Experiment 1 shows that excrescent schwa does not correspond with greater duration of syllable rimes; Experiment 2 shows that the tongue moves through schwa space along its trajectory in the excrescent schwa cases. Our results support a timing model whereby coda timing is determined by the relationship between syllable peak and consonant closure, but where timing is unaffected by the number of intervening vocalic events. 1.

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)0.002
metaresearch head score (Gemma)0.029
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.029
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.364
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

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

Citations11
Published2001
Admission routes1
Has abstractyes

Explore more

Same topicPhonetics and Phonology ResearchFrench-language works237,207