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Record W2977643192 · doi:10.1287/orsc.2019.1318

The Construction of Authenticity in the Creative Process: Lessons from Choreographers of Contemporary Dance

2019· article· en· W2977643192 on OpenAlexfundno aff
Tamar Sagiv, Tal Simons, Israel Drori

Bibliographic record

VenueOrganization Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
FundersTel Aviv UniversitySimon Fraser University
KeywordsDanceBricolageConstruct (python library)ChoreographyAestheticsTypologyContemporary danceDeconstruction (building)SociologyExpression (computer science)Process (computing)CreativityVisual artsArtComputer sciencePsychologyAnthropologySocial psychology

Abstract

fetched live from OpenAlex

The literature on authenticity of cultural production has systematically examined the perceived authenticity of both the producer and the cultural product but not of the creative process. This study aims to address this lacuna, adopting Carroll and Wheaton’s typology of type and moral authenticity to examine how contemporary dance choreographers construct authenticity during the creation of a new choreography. Our analysis of data from 23 contemporary dance companies reveals that the two meanings of authenticity dynamically reconstitute one another in the creative process. First, choreographers construct moral authenticity through transformation of form, deconstructing established artistic dance forms and introducing new movements from a bricolage of techniques. Second, they construct type authenticity through wrapping expression, facilitating the deconstruction of the values attached to the bricolage of techniques into artistic dance aesthetics. Finally, choreographers evoke both moral and type authenticity through a creative process of reconstruction. Our noteworthy finding reveals how the construction of authenticity in the process of creating a new choreography, and the dynamics between the two meanings of authenticity, serve significantly as a means of communication among the involved actors, thereby enabling the creative process.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.314
Teacher spread0.282 · 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 designObservational
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

Citations18
Published2019
Admission routes1
Has abstractyes

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