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Record W7051701268

Performative architecture: inspiring the performance of architecture through the movement of dance

2020· dissertation· en· W7051701268 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
Fundersnot available
KeywordsDanceMovement (music)Performative utteranceArchitectureParallelsSituatedInterpretation (philosophy)Dance improvisationGestureModern dance
DOInot available

Abstract

fetched live from OpenAlex

How does movement influence architecture and, in turn, how does architecture influence
\nmovement? It is through the design of the Sudbury Movement Centre where this architectural approach
\nis demonstrated. The Sudbury Movement Centre (SMC) will be a building devoted entirely to movement,
\ninspiring and provoking the movement of people in the space. Situated in Sudbury’s downtown core, the
\nbuilding will be conceived as a compliment to the existing Sudbury Theatre Centre (STC). Through the
\narchitectural gestures in designing the SMC, an architectural relationship will be developed between the
\ntwo buildings, enhancing, adjusting and modifying the experience of the existing theatre into an entire
\ncomplex dedicated to movement. As a choreographer, my experience with movement finds itself seeking
\nto influence my architectural expression. There are indeed studied parallels between dance and
\narchitecture. The theories of performance developed by Marvin Carlson, Richard Schechner, Erving
\nGoffman and A.L Austin for example, have led to a critical understanding of 'performative’ architecture.
\nFrom a choreographic perspective, the work of Rudolf Laban, Oskar Schlemmer and Cilliam Forsythe
\nhave become imperative to my research and design development. Each choreographer has developed an
\nunderstanding of the movement by exploring and analyzing dance through three-dimensional and two dimensional methods. In an architectural sense, three case studies were researched, each addressing the
\nparallels between dance and architecture in three unique ways; provoking movement, representing
\nmovement and the process of movement in two disciplines. Where these studies have successfully
\ndeveloped the connection between the two disciplines, my interpretation takes a different approach to
\nthe discipline and its potential as an architectural process. Chile these studies have become the grounding
\nto my research-creation, my own work seeks to take this beyond a metaphorical interpretation. In order
\nto understand architecture through a choreographic lens, the act of generating choreography was key to
\ndeveloping an architecture of movement. I then captured the choreography in a method that abstracted
\nthe movement of the dancers as a movement through space, a notational exploration which worked to
\ntranslate the complexity of three-dimensional movement into a two-dimensional space. This process
\nexpanded my understanding of performed movement and a new perspective of my choreography
\nbecame evident. A perspective that analyzes movement through a choreographic and architectural lens
\nmaking clear the nuances in the movement gestures. It is these nuances that translate to a movement
\ninspired architecture. The gestures of the choreography become the gestures of the architecture where
\neach shapes the building form and informs the tectonic details of architectural design.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.183
Teacher spread0.179 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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