Passion and performance anxiety: How it affects the incidence of musculoskeletal disorders in dancers
Bibliographic record
Abstract
OBJECTIVES: This study aimed to examine the association between the incidence of musculoskeletal disorder episodes (MDEs) and obsessive and harmonious passion as well as performance anxiety throughout a dance season, which lasted 38 weeks. DESIGN: Prospective cohort study. METHODS: A total of 118 professional and preprofessional dancers were recruited and assessed at baseline, while 88 completed the follow-up. Their levels of passion and performance anxiety were assessed at the beginning of a dance season using the Passion Scale and the Kenny Music Performance Anxiety Inventory, respectively. To monitor the incidence of MDEs throughout a dance season, dancers were asked to complete a weekly electronic diary. RESULTS: A higher level of obsessive passion was associated with a higher incidence of MDEs causing an interruption of dance activities (β = 0.264, p = 0.022). Harmonious passion and performance anxiety were not associated with MDEs throughout the season. CONCLUSIONS: Findings of this study support the role of obsessive passion in the development of MDEs in dancers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".