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Record W7056321680

Distance, Gaze and the Intimacy Equilibrium Model in Audio/Video-Mediated and Face-to-Face Dyads

2023· preprint· en· W7056321680 on OpenAlexafffund

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typepreprint
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsUniversity of Waterloo
FundersUniversity of OxfordGovernment of Canada
KeywordsInterpersonal communicationAssertivenessGazeInterpersonal relationshipAffect (linguistics)Interpersonal interactionSocial relation
DOInot available

Abstract

fetched live from OpenAlex

This experiment, from 1976 but until now unpublished, focused on the Argyle-Dean Intimacy Equilibrium Model, to consider gaze and social distance in face-to-face and audio/video-mediated dyads. It was found that, during audio/video-mediated interaction, communicators did not experience the anticipated degree of interpersonal remoteness or separation. What was expected to act as a technological barrier appeared to affect social influence but not interpersonal or informational communication. Under audio/video-mediated (teleconference) conditions, potential negative consequences of excessive intimacy (especially interpersonal assertiveness or dominance) appeared less salient, while certain positive effects remained unchanged. Consequently, subjects in the audio/video-mediated conditions liked each other to a greater degree, enjoyed the experiment to a greater extent, and perceived greater "closeness" than did subjects in face-to-face conditions. The levels of intra-dyadic gaze, which were significantly higher in the audio/video-mediated dyads, may have led to increased perceived intimacy between communicators.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.004
Research integrity0.0000.000
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 head0.022
GPT teacher head0.213
Teacher spread0.191 · 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.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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