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Record W2047174945 · doi:10.1121/1.3589003

Dyadic postural coordination and discourse structure.

2011· article· en· W2047174945 on OpenAlexaff
Martin Öberg, Adriano Vilela Barbosa, Eric Vatikiotis‐Bateson

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2011
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConversationEntrainment (biomusicology)RhythmAudio visualPsychologyDynamics (music)Cognitive psychologyCommunicationComputer scienceAcousticsPhysicsMultimedia

Abstract

fetched live from OpenAlex

This study reports on the relationship between coordinated behavior in dyadic conversation and discourse boundaries in audio-visual and audio only conditions over various conversation tasks. Instantaneous inter- and intraspeaker correlations of time varying head motion and body posture are analyzed for cues marking turn-taking behavior and are compared against human-labeled discourse boundaries. Transitions in two-dimensional (time and delay lag) instantaneous correlation are compared across conditions. Implications for the structure of interaction and development of entrainment in dyadic conversation are discussed. Preliminary analyzes of correlations from mismatched conversations suggest the existence of rhythmic behaviors characteristic of conversation in general. Differences between AV v A only conditions suggest the importance of visual feedback in postural entrainment.

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)0.007
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.284
Teacher spread0.268 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueThe Journal of the Acoustical Society of AmericaSame topicLanguage, Metaphor, and CognitionFrench-language works237,207