Best practice: E-Model—Prescribing physical activity and exercise for individuals with fibromyalgia
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
Fibromyalgia (FM) is a serious and debilitating condition, encompassing a wide range of symptoms. Physical therapists often advocate the incorporation of leisure time physical activity (exercise training or recreational physical activity) as an important management strategy for individuals with FM. Decisions about physical activity prescription in clinical practice are informed by a variety of sources. This topical review considers physical activity prescription using the E-Model as a framework for best practice decision making. We examine findings from randomized trials, published experts, and qualitative studies through the lens of the model's five Es: 1) evidence, 2) expectations, 3) environment, 4) ethics, and 5) experience. This approach provides a robust foundation from which to make best practice decisions. Application of this model also facilitates the identification of gaps and discrepancies in the literature, future opportunities for knowledge exchange and translation, and future research.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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