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Record W2107357210 · doi:10.1044/1092-4388(2001/012)

Respiratory Markers of Conversational Interaction

2001· article· en· W2107357210 on OpenAlexaff
David H. McFarland

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2001
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBreathingConversationPsychologyAudiologyContext (archaeology)QUIETActive listeningAnticipation (artificial intelligence)CommunicationMedicineComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Respiratory movements were recorded from 10 dyads (20 subjects) during quiet breathing, reading aloud, spontaneous monologue, scripted dialog, and spontaneous conversation. Timing measures of inspiratory, expiratory, and total cycle duration were used to compare respiratory function during quiet breathing, listening, and speech. Cross-correlation analyses of the respiratory movements of conversational partners provided an index of conversational synchrony. Inspiratory duration was found to be the most consistent and sensitive measure for discriminating quiet breathing from speech breathing. In the scripted dialog and spontaneous conversation conditions, respiratory kinematics changed during listening to more closely resemble speech, and systematic changes were observed in anticipation of turn-taking speech onset. For the breathing cycles immediately surrounding turn changes and simultaneously produced vocal events, the kinematic signals of conversational partners were strongly correlated. Results are discussed in the context of similar findings concerning conversational interactions and motor preparation for speech.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.142
GPT teacher head0.421
Teacher spread0.279 · 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 designBench or experimental
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

Citations227
Published2001
Admission routes1
Has abstractyes

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