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Record W574553173

The Audience Focus: An Analysis of Audience Inclusion as a Methodolgy for Creating Contemporary Choreography

2014· dissertation· en· W574553173 on OpenAlexaboutno aff
Patrizia Antonella Gianforcaro

Bibliographic record

VenueYorkSpace (York University) · 2014
Typedissertation
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceAudience participationChoreographyInclusion (mineral)Target audienceSociologyAudience responseContemporary danceVisual artsMedia studiesPublic relationsAestheticsArtMultimediaPolitical scienceEngineeringAdvertisingSocial scienceComputer scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

This extended analysis essay investigates audience inclusion in contemporary dance, both during the creation process and in performance. The essay argues that this methodology is effective in furthering audience engagement and development involving project-based dance companies in Toronto. This method of inclusivity bridges the audience-to-artist relationship, and creates an important connection between the audience, performers, and choreographer. The main objectives of this methodology are: to utilize audience feedback to stimulate creative impetus, to challenge the artists exploration, to learn about ones audience, to inspire audiences to become reflective spectators rather than passive spectators, and to attract a wider audience base for contemporary dance in Toronto. The results of this research have been successful in accomplishing the set goals, and this study has lead to further ideas of implementing this methodology in schools and theatres as an audience development initiative for contemporary dance.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.038
GPT teacher head0.329
Teacher spread0.291 · 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 designQualitative
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
Published2014
Admission routes1
Has abstractyes

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