Considerations for delivery of live-remote exercise for people with cancer in research and practice
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
Exercise is safe and beneficial for people diagnosed with cancer. The use of live-remote exercise approaches, where exercise trainers deliver exercise programs via a videoconferencing platform, has increased rapidly, greatly expanding the reach of exercise programs. This method retains key elements of supervised exercise, which provide greater benefits than unsupervised programs. However, challenges in adapting in-person supervised exercise programs to remote delivery exist. This article discusses the key considerations for the effective and safe delivery of live-remote exercise, such as technological requirements, exercise professional skills, safety aspects, exercise programming features, social interactions, costs, and legal and ethical considerations. Considerations relevant for the design and execution of exercise oncology clinical trials and for community practice are described. Remaining knowledge gaps are outlined and point to opportunities to further inform evidence-based practice and practice-based evidence.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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