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Record W2778489619

Choreographic Research Combining Contact Improvisation and the Alexander Technique: Somatic, Practice-Based-Research, and Ethnographic Inquiry

2017· dissertation· en· W2778489619 on OpenAlexaboutno aff
Suzanne Ruth Liska

Bibliographic record

VenueYorkSpace (York University) · 2017
Typedissertation
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceImprovisationEthnographyVisual artsEmbodied cognitionChoreographyDeskContemporary danceSociologyStudioArtComputer scienceAnthropologyEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Somatic practices, practice-based-research (PBR) and ethnography contextualize this choreographic research that moves from the studio/stage to the desk. My project investigates how integrating the Alexander Technique (AT) and Contact Improvisation (CI) principles, combined with theoretical studies in PBR and ethnography expand psychophysical coordination for dancers, teachers, researchers and choreographers. I primarily ask: What theoretical and methodological principles guide my dance research in order to move beyond teaching dance technique or choreographing a piece? To address my inquiries, I choreographed, danced and taught with dance artists from Canada, Japan, Europe, and the USA. The culmination of my research offers a new dance methodology to facilitate the multiple internal/external awareness necessary for an embodied choreographic process.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.195
GPT teacher head0.419
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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