International Athletic Training and Therapy: Comparing Partners in the Mutual Recognition Agreement
Bibliographic record
Abstract
Context The globalization of athletic training and therapy is advancing and professionals have more opportunities to transition to international working environments. Objective To compare the American, Canadian, and Irish athletic training and therapy education, accreditation, and certification processes. Background The Mutual Recognition Arrangement recognized the equivalency of athletic training and therapy in the United States, Canada, and Ireland, and thereby provides an avenue for nationally credentialed professionals to obtain equivalent credentials in one of the aforementioned countries. Synthesis As a comparison, this article demonstrated that there was a commonality among countries, but also highlighted the unique jurisdictional differences that our members should be aware of should they want to transition to partner countries. Results We performed a comparative analysis of the education, accreditation, and certification processes among the United States, Canada, and Ireland. Specific differences were noted among supervision methods, clinical education methods, and certification exams. All of these are grounded in the Mutual Recognition Agreement. Recommendation(s) We recommend that the Mutual Recognition Agreement be held as a basis for future partnerships with other countries. Conclusion(s) This article provided an overview and highlighted the similarities among academic education, domains, and content areas covered under the Mutual Recognition Agreement among athletic training and therapy programs in the United States, Canada, and Ireland. The education programs, accreditation procedures, and certification systems, although differing in structure, were consistent in delivering content that aligns with the Mutual Recognition Agreement.
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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 | 0.058 | 0.114 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".