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Effects of bali yoga program for athletes (BYP-A) on psychological state related to performance of circus artists

2022· article· en· W4226014983 on OpenAlexaffabout
Elena Grilli Cadieux, Véronique Richard, Gilles Dupuis

Bibliographic record

VenueInternational Journal of Yogic Human Movement and Sports Sciences · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsNational Circus SchoolUniversité du Québec à Montréal
Fundersnot available
KeywordsMindfulnessPsychological interventionAnxietyPsychologyPopularityMental healthAthletesMeditationSport psychologyFlexibility (engineering)Applied psychologyCognitive flexibilityRelaxation (psychology)Clinical psychologyCognitionPsychotherapistSocial psychologyPhysical therapyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Yoga and the practice of mindfulness have gained popularity as performance psychology interventions, by promoting a relaxed state of focus, increasing body flexibility, and improving awareness during performances. Like professional athletes, circus performers invest a great deal of time, resources, and mental and physical energy in their performances. The present pilot project focuses on the effect of the Bali Yoga Program, adapted for athletes (BYP-A), on the general psychological state, quality of life, performance anxiety, and perceived athletic performance of circus artists studying at the National Circus School in Montreal. Over 8 weeks, student circus artists (n= 18) attended 90-min yoga session. Results showed that following the intervention, participants reported decreased depressive and somatic symptoms, decreased cognitive and somatic performance anxiety and enhanced coping abilities (relaxation, mental distractions). BYP-A has initially shown to provide benefits for circus artists, such as factors related to improved psychological health and mental state related to performance. Future avenues for research should explore yoga intervention more thoroughly and pursue to investigate the differences existing between circus arts and other performance fields.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.029
GPT teacher head0.337
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2022
Admission routes2
Has abstractyes

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