Overuse syndrome and related problems in professional and student string players
Bibliographic record
Abstract
Introduction: Overuse syndrome in musicians, a common disorder, is characterized by pain, tenderness, and loss of function in muscles and joint ligaments of the upper limb. The most prevalent problems involve overuse of muscles resulting from repetitive movements of playing, often in combination with prolonged weight bearing in an awkward position. Many authors have described other problems such as tightness, cramp, fatigue, loss of performance, crepitation, focal dystonia and performance anxiety in classical music performers. Purpose: The aim of this study was to evaluate overuse syndrome, pain intensity and other related problems of string players and to determine the relation between these conditions and performing times. Patients and methods: Twenty-seven professional string players (13 male, 14 female) from the Presidential Symphony Orchestra, ranging from 24 to 50 years of age (mean: 33.00 ± 7.83 years), and 25 students (8 male, 17 female) from Hacettepe University Conservatory, ranging from 11 to 18 years of age (mean: 13.16 ± 2.28 years) were introduced into this study. In the evaluation, Fry's overuse grades, McGill Pain Questionnaire, and the Visual Analogue Scale (VAS) were used. In addition, the complaints of tightness, cramp, fatigue, loss of performance, crepitation, focal dystonia and performance anxiety were recorded. Results: Various levels of VAS and overuse problems were observed in both groups, but no significant correlation between instrument playing time, and overuse levels and VAS was found.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".