White Paper: Yoga Therapy and Pain—How Yoga Therapy Serves in Comprehensive Integrative Pain Management, and How It Can Do More
Bibliographic record
Abstract
This paper examines the role of yoga therapy in comprehensive integrative pain management (CIPM). The pain crisis is described, and how yoga therapists can contribute to its solution is explained. Yoga therapy can be an essential component of the multidisciplinary undertaking that will be required to improve patient outcomes and alter the trajectory of the global public health crisis constituted by an epidemic of poorly understood and inadequately addressed pain. Additional context and evidence are presented to document the effectiveness of yoga therapy interventions to support people living with pain. The white paper concludes by listing recommendations to providers, consumers, payers, and legislators, who together can address systemic and structural barriers to CIPM, as well as suggestions for enabling the yoga therapy profession to more fully participate in these solutions.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".