Fractured phalanx in a violinist’s finger: Special considerations in treating musician patients
Bibliographic record
Abstract
Post-traumatic reconstructive surgery on musician patients is uniquelchallenging in that sustained motor deficits imperceptible to the average person can be debilitating for this population.1 Instrument manipulation is extremely physically demanding; even without trauma musicians are at risk of developing a musculoskeletal disorder from mere overuse of the muscles involved in their craft.2 Furthermore, the link between physical and emotional well-being is exaggerated in musicians, as their livelihood revolves around the physical expression of emotion.3 Analyzing medical treatment from a musician’s perspective provides a useful demonstration of the increased efficacy in utilizing a whole person approach as opposed to one that is strictly biomedical.4 Heightened sensitivity to motor deficits and the economic and emotional implications thereof are significant factors pertaining to the lifestyle of these patients, and treatment should be tailored accordingly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".