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Dancers' Application of the Alexander Technique

2005· article· en· W1991841627 on OpenAlexaff
Sylvie Fortin, Fernande Girard

Bibliographic record

VenueJournal of Dance Education · 2005
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDanceDance educationPsychologyCurriculumSubject (documents)Contemporary danceSubject matterVisual artsPedagogySociologyArtComputer scienceLibrary science

Abstract

fetched live from OpenAlex

This qualitative study describes the experience of professional contemporary dancers studying and applying the Alexander Technique to their dancing. This study was motivated by: 1. years of teaching both dance and somatics, 2. a strong desire to better understand how the Alexander Technique can be applied by dancers, and 3. a gap that the researchers perceived in the available literature connecting these two fields. Throughout years of teaching dance and somatics the researchers observed the increasing challenges that dance students had to confront in order to meet the requirements of today's dance careers. The movement efficiency that makes dancers less susceptible to injury and, at the same time, renders them more expressive, requires the development of acute sensorial awareness as well as the sharpening of cognitive faculties. As teachers of dance and somatics, the researchers became increasingly aware of the importance and the difficulty of applying somatic methods to dance training at both professional and pre-professional levels. Somatic study is now part of the curriculum of many professional schools and university programs in dance worldwide. It has been the subject of studies looking at its application to various aspects of dance. In order to facilitate integration of somatic concepts to vocational dance classes, the researchers thought it was relevant to look at how professional dancers use the Alexander Technique both in their professional career and daily life. Just as it takes years to train a dancer, it may take years to incorporate the complexity of somatic work into one's dancing. Looking at what somatic education means for professional dancers can inspire the development of teaching strategies informed by professional practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.178

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)0.0000.000

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 head0.010
GPT teacher head0.316
Teacher spread0.306 · 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 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

Citations23
Published2005
Admission routes1
Has abstractyes

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