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Record W2103061527 · doi:10.2190/rlbe-xqk9-c65f-x05b

Multiple Uses of Mental Imagery by Professional Modern Dancers

2001· article· en· W2103061527 on OpenAlex
Christine Hanrahan, Ineke Vergeer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueImagination Cognition and Personality · 2001
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDanceMental imageChoreographyPsychologyMovement (music)Visual artsCognitive psychologyAestheticsArtCognition

Abstract

fetched live from OpenAlex

The present qualitative study has revealed a range of mental imagery strategies which professional modern dancers used for different purposes during their training, during the creation and rehearsal of a choreography, as well as prior to, during, and after a performance. The dancers' use of imagery tended to be multi-modal, multi-dimensional, seeking to integrate mind, body, and spirit not only in their dance activities but also in their lifestyle. Many of these personalized images had common characteristics and similar effects, which made possible their organization into eight imagery categories: inspiration, atmospheric, specific movement, metaphysical, emptying out, filling up, projection, and imagery rehearsal. Suggestions are made for the inclusion of similar types of images into the dance classroom and into other movement contexts.

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.

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 score0.123
Threshold uncertainty score0.997

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)0.0040.000

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 head0.033
GPT teacher head0.361
Teacher spread0.328 · 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