Bibliographic record
Abstract
Hello! My name is Dr. Sanu Augustine. I offer Naturopathic services, along with Traditional Indian Therapies such as Ayurveda, Kalari, and Yoga. I have more than 13 years of experience in different therapeutic fields in India and Canada. I am rendering service for people with issues such as arthritis, sprains, accident recovery, circulation problems, weight management, all stages of pregnancy and post-delivery, developmental issues, migraine, sinus, sleep disorders, stress and many more health problems. In 2015, I received a Doctorate of Natural Medicine from the World Board of Natural Medicine (WBNM), Canada. Prior to this, in 2007, I achieved my Master of Social Work (medical and psychiatric) from Mangalore University, India. In addition, in 2005, I completed my BSc in Botany from MG University, India, and three years prior to that my Diploma in Ayurveda and Yoga from Bharat Sevak Samaj, India. I also trained for more than 12 years in Kalaripayattu (Traditional Martial Arts in South India). At 17 years of age I became a Trainer of Kalari Martial Arts and had more than a hundred students whom I taught this ancient form of self-defence and Kalari Marma Treatments. After receiving my diploma in Ayurveda, I worked for more than three years as an Ayurvedic Practitioner at DS Hospital in India. I then went on to work as a Yoga Trainer and Traditional Healer at Malandu Social Service Society. It was a privilege to make use of my knowledge in order to heal people at their homes in the remote villages of the Shimoga District. From there I was granted an opportunity to become Assistant Professor of the Social Work Department in Kuvempu University and eventually became Head of the Department of Social Work in Kodaikanal Christian College. In my life I discovered the wonders of herbal Ayurvedic medicines in healing people and experienced first-hand how to participate in that healing. I am excited to bring this knowledge and understanding to the people of London!
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.
How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".