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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.030
Scholarly communication0.0120.005
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.002

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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