MétaCan
Menu
Back to cohort
Record W2912975270 · doi:10.1177/0276237419828213

A Unifying Model of the Arts: The Narration/Coordination Model

2019· article· en· W2912975270 on OpenAlexafffund
Steven Brown

Bibliographic record

VenueEmpirical Studies of the Arts · 2019
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsMcMaster University
FundersLuonnontieteiden ja Tekniikan Tutkimuksen ToimikuntaSocial Sciences and Humanities Research Council of CanadaMcMaster University
KeywordsThe artsProsocial behaviorNarrativePsychologyGroup cohesivenessSocial psychologyVisual artsArtLiterature

Abstract

fetched live from OpenAlex

The Narration/Coordination model is presented as a unifying model of the arts with regard to psychological processing and social functions. The model proposes a classification of the arts into the two broad categories of the narrative arts and the coordinative arts. The narrative arts function to tell stories, often to promote social learning through the modeling of prosocial behaviors. The coordinative arts function to stimulate group participation through synchronized action, thereby serving as a reinforcer of group affiliation and a promoter of social cooperation. These two categories vary with regard to a number of psychological and social features related to personal engagement, role playing, cognitive structure, and performance. The arts are evolutionarily adaptive because they promote social cooperation through two distinct routes: the simulation of prosocial behaviors via the narrative arts, and the stimulation of group synchronization and cohesion via the coordinative arts.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.008
Scholarly communication0.0060.007
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.193
GPT teacher head0.398
Teacher spread0.205 · 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 designTheoretical or conceptual
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

Citations10
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueEmpirical Studies of the ArtsSame topicAction Observation and SynchronizationFrench-language works237,207