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Record W3159820902 · doi:10.24908/iqurcp.8754

Body-Mind Centering: An Exploration in Achieving Somatic Awareness for the Classical Ballet Dancer

2016· article· en· W3159820902 on OpenAlexvenueno aff
Lee Sela

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2016
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsBalletClassical balletStudioFeelingMovement (music)KinesiologyDanceImprovisationPsychologyAestheticsVisual artsArtMedicineSocial psychologyMedical education

Abstract

fetched live from OpenAlex

With each step and each breath a ballet dancer takes the body acts as a compass, guiding each internal discovery. The ability to maintain one’s bearings can be achieved through the process and balance of Body-Mind Centering. This technique, founded by theorist Bonnie Bainbridge Cohen, journeys into the ever-changing territory of the human body by exploring thoughts, feelings, energy, and movement. Specifically, somatic awareness is reached through the exploration of bones, muscles, and organs. The method of research was generated in the following ways: Extensive research conducted in the field of anatomy and kinesiology, and an anatomy document created for future dancers to utilize prior to in-studio work. Next, a combination of Cohen’s previously devised exercises and newly crafted exercises were put into practice in a studio setting. Both solo and group work was conducted, targeting specific groups of bones, muscles, or organs. Lastly, a journal was kept with all practical observations discovered, and a final document was generated to reveal and collaboratively synthesize the observations made. Numerous discoveries were made regarding the differences in the quality of movement alterations (internal vs. external), the movement of a trained ballet-body (urges and inclinations), as well as the methods of exercise exploration (improvisation vs. structure), and how each affected the types of movement generated by the dancer. Through both the discoveries and difficulties that arose during the research process, future options for study were generated, such as, in-studio workshops that explore the interaction and dialogue between multiple bodies.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.296
GPT teacher head0.450
Teacher spread0.154 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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