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Record W2320209943 · doi:10.1515/lp-2012-0014

A cross-modal account for synchronic and diachronic patterns of /f/ and /θ/ in English

2012· article· en· W2320209943 on OpenAlexafffund
Grant McGuire, Molly Babel

Bibliographic record

VenueLaboratory Phonology Journal of the Association for Laboratory Phonology · 2012
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsSound changePerceptionContrast (vision)Syllabic versePsychologyVariation (astronomy)GestureSyllableVowelSpeech perceptionSpeech recognitionLinguisticsCognitive psychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract While the role of auditory saliency is well accepted as providing insight into the shaping of phonological systems, the influence of visual saliency on such systems has been neglected. This paper provides evidence for the importance of visual information in historical phonological change and synchronic variation through a series of audio-visual experiments with the /f/∼/θ/ contrast. /θ/ is typologically rare, an atypical target in sound change, acquired comparatively late, and synchronically variable in language inventories. Previous explanations for these patterns have focused on either the articulatory difficulty of an interdental tongue gesture or the perceptual similarity /θ/ shares with labiodental fricatives. We hypothesize that the bias is due to an asymmetry in audio-visual phonetic cues and cue variability within and across talkers. Support for this hypothesis comes from a speech perception study that explored the weighting of audio and visual cues for /f/ and /θ/ identification in CV, VC, and VCV syllabic environments in /i/, /a/, or /u/ vowel contexts in Audio, Visual, and Audio-Visual experimental conditions using stimuli from ten different talkers. The results indicate that /θ/ is more variable than /f/, both in Audio and Visual conditions. We propose that it is this variability which contributes to the unstable nature of /θ/ across time and offers an improved explanation for the observed synchronic and diachronic asymmetries in its patterning.

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)0.003
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 score0.023
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.324
Teacher spread0.309 · 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

Citations22
Published2012
Admission routes2
Has abstractyes

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