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Record W2533551366 · doi:10.1075/gs.4.05bav

Chapter 4. Dyadic evidence for grounding with abstract deictic gestures

2011· book-chapter· en· W2533551366 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

VenueGesture studies · 2011
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDeixisGestureCommunicationPsychologyComputer scienceLinguisticsCognitive scienceArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Speakers use gestures to communicate within a dialogue, not as isolated individuals. We therefore analyzed gestural communication within dyadic dialogues. Specifically, we microanalyzed grounding (the sequence of steps by which speaker and addressee ensure their mutual understanding) in a task that elicited abstract deictic gestures. Twenty-two dyads designing a hypothetical floor plan together without writing implements often used gestures to describe these non-existent spaces. We examined the 552 gestures (97% of the database) that conveyed information that was not presented in the accompanying words. A highly reliable series of analyses tracked the immediate responses to these non-redundant speech-gesture combinations. In the vast majority of cases, the addressee’s response indicated understanding, and the speaker/gesturer’s actions confirmed that this understanding was correct.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.350
GPT teacher head0.365
Teacher spread0.015 · 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