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Record W2613318446

Angular momentum regulation during a ballet turn as a balance control indicator

2010· article· en· W2613318446 on OpenAlexaff
Coren Walters-Stewart, Gholamreza Rouhi, Gordon Robertson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAngular momentumTorquePhysicsTotal angular momentum quantum numberMechanicsClassical mechanicsQuantum mechanics
DOInot available

Abstract

fetched live from OpenAlex

In contrast to walking, during which angular momentum is ultimately used for locomotion[1], in ballet, when performing a turn, angular momentum is used to accomplish a rotation. This study characterizes the mechanisms used by a dancer to generate and control angular momentum and quantifies the transfer of angular momentum throughout. Our results demonstrate that the period during which the heel makes contact with the ground is an important domain of analysis in considering the dancer's ability to develop angular momentum about the main axis of the turn. In addition, significant transfers of angular momentum occur between the extended leg and the trunk as a result of the technique in which the extended leg leads the turn. While the principal motion of the turn occurs about the z-axis, considerable changes in momentum (thus, an external moment) occur in the axes parallel to the ground, as well. Yet, the balance of the dancer is maintained by continuously transferring momentum between the mediolateral and anterioposterior axes. If angular momentum is not transferred between these axes, external moments create torque about the ankle joint and can cause the dancer to lose his or her balance. When deviations from vertical result in a torque about the ankle joint, the body is further accelerated from a stable upright position similar to a tripping situation[2]. A counteracting torque is required to arrest and reverse the torque created by a gravitational force component.Acknowledgments: 1]Herr, H an

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.996

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)0.0050.000

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 head0.002
GPT teacher head0.225
Teacher spread0.223 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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