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Record W2951392685 · doi:10.5334/gjgl.650

Sound change and coarticulatory variability involving English /ɹ/

2019· article· en· W2951392685 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

VenueGlossa a journal of general linguistics · 2019
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSound changeCoarticulationVariation (astronomy)PhonotacticsObstruentConsonantAmerican EnglishCovertVocal tractPhonationAudiologyPsychologyVowelAcousticsSpeech recognitionLinguisticsComputer sciencePhonologyMedicine

Abstract

fetched live from OpenAlex

English /ɹ/ is known to exhibit covert variability, with tongue postures ranging from bunched to retroflex, as well as various degrees of lip protrusion and compression. Because of its articulatory variability, /ɹ/ is often a focal point for investigating the role of individual variation in change. In the studies reported here, we examine the coarticulatory effects of alveolar obstruents with /ɹ/, presenting data from a collection of sociolinguistic interviews involving 162 English speakers from Raleigh, North Carolina, and a pilot corpus of ultrasound and lip video from 29 additional talkers. These studies reveal a mixture of assimilatory and coarticulatory patterns. For the sound changes in progress (/tɹ/ and /dɹ/ affrication, and /stɹ/ retraction), we find increases over apparent time, but no effect of covert variability in our laboratory data, consisting mostly of younger talkers. When a sound change has already become phonologized to a new phonemic target with a correspondingly different articulatory target, the original variability is obscured. In comparison, post-lexical coarticulation of word-final /s z/ before a word-initial /ɹ/ more closely resembles /s z/ in tongue posture, with an effect of anticipatory lip-rounding that introduces a low-mid frequency spectral peak during the sibilant interval, and greater reduction in the frequency of this peak for talkers who transition more rapidly to the /ɹ/. In order to uncover the role of covert variability in a sound change, we must look to sounds that exhibit synchronically stable articulatory variability.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.065
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.330
Teacher spread0.280 · 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