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Record W1984414984 · doi:10.1353/tt.2014.0041

Dancing Performance Generating Systems

2014· article· en· W1984414984 on OpenAlexaboutno aff
Pil Hansen

Bibliographic record

VenueTheatre topics · 2014
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceRest (music)Visual artsArtTransition (genetics)Medicine

Abstract

fetched live from OpenAlex

Dancing Performance Generating Systems Pil Hansen (bio) This article invites you on a simple, experiential journey into the complex mystery of dance works that systematically generate performance onstage. This praxis is situated in a lineage of task-based creation; it is brought to life through descriptions of two works by internationally recognized choreographers from Canada; and it is examined through a dramaturgical lens with the aim of revealing how the systems work and are danced.1 Touch Me Two dancers undress and, not quite naked, they seek eye contact and approach each other. At close proximity, they each retract into solo dances of twisting joints, reflexes, and muscle contractions. I remember Michael Caldwell rubbing his wrist against his shoulder blades while his chin tugs at his collar bone and his knees let go; not quite interlocked, Stephanie Tremblay Abubo stretches her face and arms away and apart. Both dancers are caught in looping repetitions of the solo dances until his or her hand rests upon the other's body, allowing the touching dancer to relax for the duration of the contact. Multiple cycles of these looped solos and moments of rest continuously shift the alignment of movements. The cycles come to a momentary halt when the dancers find each other's hands and cautiously begin to walk together, in transition. This fragile union soon splits into another cycle of retracted solos and rest, and the full series of cycles and shared transition continues to unfold and evolve. In my memory of this section of Crave (2013), I am watching from a chair next to the choreographer Karen Kaeja2 and I am facilitating her development of the piece as her dramaturg. My focus is on the dancers' choices of when to touch each other and their implicit (mis)alignment of tempo, muscle tension, and movement. Each stage of developing, trying out, and adjusting the "rules" of the dancing are alive in my mind, and I am assessing how our last changes affect the dancers' choices differently from previous stages of the work. I am also paying attention to how their choices, in turn, affect me as a spectator: I notice what my attention is drawn towards, sense contractions of and relaxation in my core muscles, and register the competing emotions and associations evoked by the experience. The only layers of meaning that I am concerned with are general themes and the detectable logic of the system that the solos, rules, cycles, and series comprise. Layers of interpretation depend on each viewer's associations to personal memories of intimacy that are inaccessible to me, but will enrich and form large parts of his or her experience. The piece's ability to trigger such associations and feed them into the system through our viewer's perception is what matters. I am sharing this memory because it offers a simple and clear example of how a performance generating system can be created, how it systematically drives the dancers to generate performance onstage, and what kind of invitation it extends to audience members. [End Page 255] Concept I am using the term performance generating system for rule- and task-based dramaturgies that systematically set in motion a self-organizing process of dance generation. When creating such a system, the focus is not on the completion of a choreographic composition of movements, phrases, series, and interactions with fully set muscle intentionality, tempo, and markers of what takes place where and when in space and time. The choreographer and dramaturg are also not creating frames for improvisation of movement that is based on the dancers' impulses. Rather, when creating a performance generating system, the aim is to arrive at a set of shared tasks and rules that both divides and sharpens the performers' attention, while limiting their options and challenging them to make movement decisions in the moment. Fully set choreography or improvised material, like the solos in the Crave example, may be fed into the system and used as resources to be processed by the dancers' choices. However, the central principle of the piece's dramaturgy remains the way in which tasks and rules generate interaction and movement. Touch Rules When creating the described section...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

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

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 head0.021
GPT teacher head0.255
Teacher spread0.234 · 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 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

Citations5
Published2014
Admission routes1
Has abstractyes

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