An International Comparison of Strength and Conditioning Coach Education
Bibliographic record
Abstract
The paper deals with coaching bachelor degrees for strength and conditioning coaches in selected universities in Canada, Norway, Czech Republic and Slovakia. All participating countries of the research set are full members of the Organization for Economic Co-operation and Development. Based on a content analysis of curricular documents, we identify and describe similarities and differences in approaches to strength and conditioning coaching bachelor degrees. They were apparent primarily in the qualification, content and practicum profile. The study shows that the coach's bachelor's degree has different qualifications, content and practicum profiles. It is even in sharp contrast to the bachelor's level in sports coaching in the Czech Republic and Slovakia, compared to the bachelor's level in kinesiology in Canada and sports science in Norway. The more specifically designed strength and conditioning coach bachelor level of education in the Czech Republic and Slovakia differed from schooling in Canada and Norway. The fundamental difference is the longer duration of the study program and the minor number of credit units at a Canadian institution compared to European institutions. The difference in the number of optional subjects is also striking. In European institutions, they make up a maximum of 16%; in Canadian institution, it represents almost half of all courses in the study program. An automatic CSCS (NSCA) certification program option is available in Canada.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".