Methodological Issues Pertaining to the Evaluation of the Effectiveness of Energy-Based Therapies, Avenues for a Methodological Guide
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 current interest in Complementary and Alternative Medicine (CAM) begs the question of their integration into the health care system, which will most likely require rigorous scientific evaluation in randomized controlled trials (RCT) before they are fully accepted and integrated. Although some meta-analyses demonstrate the potential of certain energy-based (EB) CAM therapies others highlight significant methodological weaknesses in the study design. It is not only important to verify the effectiveness of energy-based therapies (EBT), but also to do it with methods that are appropriate to the evaluation of this type of therapy. In fact, there are those who question the applicability of traditional research models to the evaluation of CAM therapies. It is with this in mind that we wish to suggest certain parameters that should be taken into account when planning a research for the evaluation of CAM therapies and meta-analyses.
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 | 0.013 | 0.006 |
| 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 | 0.000 |
| 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