Introducing IJTMB’s Trigger Points: Topical Dialogue amongst Therapeutic Massage & Bodywork Practitioners and Educators
Bibliographic record
Abstract
The International Journal of Therapeutic Massage and Bodywork (IJTMB) has as its core a key interest in and mission to develop the practice of therapeutic massage and bodywork by contributing to the field's body of knowledge. The IJTMB Editorial Board understands that one's daily practice provides the initial testing ground for the development of practice-based knowledge and, ultimately, expertise. Consequently, this practice-based knowledge and experience provides fertile ground for research ideas that further refine our understanding and come full circle to enhance clinical efficacy. Ultimately, without discourse and knowledge transference, the possibility of growing the body of knowledge for therapeutic massage and bodywork or stimulating research in the field is lost. To facilitate discourse and transference of knowledge within the field of therapeutic massage and bodywork, the IJTMB is launching a new journal component entitled Trigger Points: Topical Dialogue amongst Therapeutic Massage & Bodywork Practitioners and Educators. The purpose of IJTMB's Trigger Points is to "trigger" the sharing and discussion of knowledge and expertise among therapeutic massage and bodywork practitioners, educators, and researchers about different approaches to treating specific conditions or addressing specific population issues. Each IJTMB issue, starting with this issue, will include a call for responses to the next Trigger Points topic. Publication of the results for each topic will be in the second issue after the initial call for submissions. With your participation, these IJTMB Trigger Points columns will spark dynamic dialogue, perhaps even collaborations, in the therapeutic massage and bodywork field across practitioners, educators, and researchers.
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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 | 0.022 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".