ALTERNATIVE MEDICINE: THERAPIES AND TREAT THE DISEASES BY NEW WAYS
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
Alternative medicine is a term that describes medical treatments that are used instead of traditional (mainstream) therapies.Some people also refer to it as "integrative" or "complementary" medicine.Alternative medicine is the most widely used remedy systems, in the treatment of various diseases.Alternative medicine is used widely because there are a large health care alternatives to be more congruent within the own values and beliefs towards health.Alternative medicine is more compatible with patients, offers more personal autonomy and control over the health care decisions.It is accepted worldwide because of its compatibility and acceptability in increasing the beliefs regarding the nature and meaning of health and illness.This review deals with various alternative therapies used such as Ayurveda, homeopathy, acupuncture, naturopathy, yoga, herbal medicine, massage therapy; effectiveness of the alternative medicine; assessment of the effectiveness of alternative medicine; sources of information about the alternative medicine; alternative medicine therapies in treatment of various diseases; perceived benefits of alternative medicine and thereby concluding with the increased level of acceptance of alternative medicine, its widespread use in various diseases and their treatment with various alternative therapies.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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