Communication between Medical Practitioners and Dancers
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
The purpose of this study was to investigate patterns of communication between professional and pre-professional dancers and medical practitioners. One survey was developed and randomly conducted among family physicians, sports medicine physicians, chiropractors, physical therapists, and registered massage therapists. A second survey involved volunteer ballet and modern dancers in professional dance training programs, college and university dance programs, and independent dance artists. One hundred and ninety questionnaires were distributed to medical practitioners, and 50 were returned. Of 380 questionnaires given to dancers, 202 were returned. The dancers were 18 to 49 years old, with a majority between the ages of 18 and 20. They averaged more than 10 years of dance training. All of the questionnaires were distributed in a single large Canadian city. The data shows that medical practitioners rarely communicated with each other concerning a common (dance) patient. They also failed to communicate, in most cases, with the dancers' teachers, choreographers, and directors. This was not disconcerting to injured dancers, who tended to believe that such communication was not important to their recovery. Significantly, dancers did not fully understand the nature of their injuries when they sought medical advice, and they did not press the medical practitioners for additional information. Both groups generally believed that dancers would benefit by learning more about human anatomy.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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