“I am a healthcare practitioner”: A qualitative exploration of massage therapists’ professional identity
Bibliographic record
Abstract
BackgroundA division has been described among massage therapists, some who identify as healthcare providers while others identify as service providers. The perceived division creates confusion about what it means to be a massage therapist. ObjectiveThis qualitative study answered, "How do massage therapists in Ontario describe their professional identity?" MethodsQualitative description (QD) was used and data were collected from 33 massage therapists using semi-structured interviews. ResultsThe resulting description of massage therapists' identity in Ontario is the first of its kind. The identity described includes passion as professional motivation in practice, the importance of confidence and competence, a focus on the therapeutic relationship, individualized care, and patient empowerment, and a desire to be recognized for their role within the healthcare system. ConclusionThere is still much to be investigated about massage therapists' identity. Future research will explore whether this description resonates with a larger sample of massage therapists in Ontario.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.020 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".