A Research Agenda for the Massage Therapy Profession: a Report from the Massage Therapy Foundation
Bibliographic record
Abstract
The Massage Therapy Foundation (MTF) serves as a primary steward of massage therapy research; working to fund and advance the science and art of massage therapy for the entire massage community. The development of an updated research agenda is an essential part of furthering the MTF’s responsibility to help grow the massage therapy knowledge base and increase support for the application of quality research. Integrative health and massage community stakeholders are called upon to help move this MTF 2020 Massage Therapy Research Agenda forward. Together we must strive to continue to advance and disseminate new knowledge to all stakeholders including practitioners, students, instructors, researchers, and policy makers.
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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 | 0.113 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.022 | 0.021 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.029 | 0.039 |
| Insufficient payload (model declined to judge) | 0.006 | 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".