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Record W6899390582 · doi:10.5860/choice.223231

Review Of "Tandem Dances: Choreographing Immersive Performance" By J. Ritter

2021· article· en· W6899390582 on OpenAlexaboutno aff

Bibliographic record

VenueWorks - Scholarship, Research, & Creative Expression (Swarthmore College) · 2021
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsChoreographyDancePerspective (graphical)Set (abstract data type)Key (lock)Section (typography)Virtual reality

Abstract

fetched live from OpenAlex

This is Ritter's first book, and in it she employs dance and choreography as key structural elements in discussing immersive theater performances. Ritter (Rutgers Univ.) suggests that immersive events are distinctive because they involve both performers and audiences in enacting tandem movement scores. She begins with a theoretical orientation and then explores several tandem contexts in which choreography is central, including virtual reality and video gaming. Discussed first are the collaborative interactions and authorships shared between choreographers and dancers evident in set sequences and improvisation. The book then investigates ways that these dialogues have been manifest in the choreographic interactions among performances, performers, and audiences over time in various dance and theater productions. Ritter examines in detail three specific, long-running performances by companies in Canada, the UK, and the US, using these performances to explicate her theoretical perspective and illustrate the central significance of choreography to immersive performance overall in a 21st-century Western framework. Extensive endnotes and numerous black-and-white photos and illustrations provide useful support to the text. Summing Up: Recommended. Upper-division undergraduates through faculty; professionals.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.066
GPT teacher head0.387
Teacher spread0.320 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueWorks - Scholarship, Research, & Creative Expression (Swarthmore College)Same topicDiversity and Impact of DanceFrench-language works237,207