On Qualitative Research, Outcome Measures, and the Fostering of Professional Dialogue
Bibliographic record
Abstract
Welcome to the IJTMB's first full year, with a quarterly publication schedule planned for the months of March, June, September, and December.We continue to encourage researchers, educators, and practitioners in the massage, bodywork, and related health science communities to consider this journal as a possible venue for sharing their professional experiences and insights.Included among the several entries in this issue of the IJTMB is an article by Paul Finch that reports on a qualitative investigation regarding motivational changes seen in massage therapy students over the course of their professional education.Although not originally intended as a sequel, it certainly does serve to illustrate the qualitative genre of research addressed in an article that appeared in the journal's December 2008 issue (1) .A second article appearing in this issue speaks to a recently-launched database resource that addresses a dire need among researchers and practitioners in their perennial quest to document, in valid and reliable ways, client-specific outcomes of interventions in the field of complementary and alternative medicine (CAM).Ania Kania, Marja Verhoef, Trish Dryden, and Mark Ware provide an overview of the IN-CAM Outcomes Database, with an emphasis on its underlying domainspecific framework, possible search options, and interactive nature.Part of the rationale behind the Commentaries section of the IJTMB is to afford colleagues an opportunity to respond to entries appearing in the journal and to any other features of this publication.This type of venue for encouraging dialogue among researchers, educators, and practitioners is an intended catalyst for "point-counterpoint" or "thesis-antithesis-synthesis" exchanges potentially beneficial to all concerned.In that context, this issue provides-via the Letters to the Editor-two instances of reader reactions to previouslypublished editorials with, of course, the opportunity for the originating author to reply.In the first case, Dylan Lott responds to Christopher Moyer's Research section editorial (2) that appeared in the August 2008 inaugural issue.This lively exchange between Lott and Moyer focuses on the construct of "reductionism" and its role and value in massage therapy research.In the second Letter to the Editor, Pamela Fitch reflects on Moyer's editorial on "affec-
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 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 | 0.233 | 0.349 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.011 | 0.030 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.004 | 0.030 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".