Survey of Canadian human anatomy courses in Kinesiology and Physical Education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Human anatomy is a requirement for program accreditation from the Canadian Council of Physical Education and Kinesiology Administrators (CCUPEKA). Fifteen out of nineteen CCUPEKA accredited programs participated in a pan-Canadian environmental scan to determine if their human anatomy course would be classified as either regional, systemic or some combination of these two methods. Two additional raters from another university and with university anatomy teaching experience blindly rated each CCUPEKA accredited anatomy course based on a course syllabus. An intraclass correlation coefficient was calculated using the three raters to determine the reliability of such a classification system. Eight of fifteen professors classified their own course as a combination of regional and systemic anatomy. Three professors classified their course as regional and four classified their course as systemic. The reliability coefficient (ICC 2,k) was 0.48. Weak reliability is indicative of poor agreement on how each of the classification systems is defined. Future research should focus on agreement of a unified and accepted definition of these classifications. Then, more research can pursue the question of the best method to deliver this very important content to physical education and kinesiology undergraduate students.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it