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Record W4230814029 · doi:10.1017/s000841310000222x

Anticipation labiale et perception visuelle

2012· article· en· W4230814029 on OpenAlexaff
J. R. Roy

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2012
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPerceptionGestureAnticipation (artificial intelligence)PsychologyKinematicsCognitive psychologyVowelContrast (vision)CommunicationSpeech recognitionComputer scienceArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Abstract The main aim of this article is to describe the visual perception process of anticipatory rounding gestures in [iC(CCCC)y] sequences by considering the characteristics that contribute to their production (articulatory configurations, temporal data, and kinematic events). Productions of two French speakers were analyzed to obtain the data needed to interpret the results of a perception test composed of truncated visual sequences using thegatingparadigm. The results indicate that the perceptually effective portion of the gesture usually begins when a significant velocity peak is observed. In contrast, if the sequence has no prominent velocity peak, the rounded vowel can be recognized only when the labial configurations are closer to the articulatory target. The results can be interpreted on the basis of general models for movement perception, in this caserepresentational momentum.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.351
Teacher spread0.314 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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Same venueThe Canadian Journal of Linguistics / La revue canadienne de linguistiqueSame topicPhonetics and Phonology ResearchFrench-language works237,207