From Skeptic to Vital Partner in Massage Therapy Research: an Interview with Mark Hyman Rapaport, MD
Bibliographic record
Abstract
Mark Hyman Rapaport, MD is a highly accomplished researcher, academician, and clinician. Dr. Rapaport has more than 180 publications, and his main research interests include biologic genesis of anxiety disorders, as well as immunity abnormalities and depression in mood disorders. His research investigating massage therapy has included study of inflammatory biomarkers, cancer related fatigue, and generalized anxiety disorder. He has created a successful partnership with the Atlanta School of Massage for the implementation of his research inquiry. Dr. Rapaport discusses with us a wide range of topics on massage therapy, including from where his inspiration for research comes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.129 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.020 | 0.040 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".