An Intensive Continuing Education Course to Enhance Care of the Performing Arts Athlete: The “Essentials of Performing Arts Medicine”
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.
Bibliographic record
Abstract
Abstract A new continuing education course from Performing Arts Medicine Association and American College of Sports Medicine enables sports medical health professionals to better care for performing artists. High occupational injury rates have been reported in performing artists, yet the quality of preventive and clinical care remains highly variable. Through the Athletes and the Arts collaboration, The Performing Arts Medicine Association, and the American College of Sports Medicine identified that health care practitioners’ existing expertise should be enhanced to address the complex psychophysical needs of performing artists. In response, a 2-d continuing education course, “The Essentials of Performing Arts Medicine” (EOPAM), was developed and has been delivered at least annually since 2016. This course has been well-received by 149 physicians and 240 allied health professionals to date (average ratings, ≥3.5/5 from 2018 to present), with course quality significantly improved by a transition to online delivery in 2020 (average ratings ≥4.5/5; P < 0.01). Accordingly, EOPAM demonstrates that a brief continuing education course can enhance health professionals’ understanding of the unique needs and demands of performing artists, addressing a key barrier to improved care.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it