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Record W4386868628 · doi:10.9771/rr.v1i38.48558

Participatory Sense-Making in Dance Improvisation

2023· article· en· W4386868628 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

VenueRepertório · 2023
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsImprovisationDancePerceptionCognitionCitizen journalismCognitive psychologyPsychologyCognitive scienceComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

Participatory sense-making (PSM) provides a rich theoretical framework for theories in social cognition, providing a base for hypotheses that remain to be experimentally tested. Particularly, we are interested in exploring when synchrony arises between participating agents in social interactions. Additionally, we aim to see if altering the perceptual experiences of agents influences their ability to coordinate their intentions and behaviours. We propose a behavioural experiment that makes use of an existing dance improvisation paradigm to obtain measures of spontaneously arising coordinated behaviour. Then, we propose analysis methods, including instantaneous phase synchrony, to translate the behavioural observations into meaningful measures of coordination. We then present our expected results and discuss how they may contribute to the existing knowledge in social cognition. Additionally, we explore the implications of results that do not support our hypothesis, providing suggestions for future directions in testing hypotheses proposed by PSM.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.137
GPT teacher head0.404
Teacher spread0.267 · 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