UND professor appointed co-editor of major book series on sports medicine
Bibliographic record
Abstract
Dennis Caine, professor and chair in the University of North Dakota's Department of Kinesiology & Public Health Education, part of the College of Education & Human Development (CEHD), was named series co-editor for the long-standing Karger Publisher's book series, titled Medicine and Sport Science on Jan. 1. Caine also currently serves on editorial review boards for the British Journal of Sport Medicine (associate editor), Clinical Journal of Sport Medicine, and Research in Sports Medicine: An International Journal. Prior to coming to UND, Caine was a professor in the Department of Physical Education, Health and Recreation at Western Washington University in Bellingham, from 1992-2007. He began his career as a physical education teacher in Canada and with the Canadian Department of National Defense in Germany. Caine's research interests involve the epidemiology of injury in sport and recreation activities, injury and growth and the effects of intensive training on growth. Within the Department of Kinesiology & Public Health Education, Caine teaches Epidemiology in Public Health, Applied Motor Development, Motor Development and Physical Activity Epidemiology. Caine is a former interim dean of the CEHD.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 0.041 |
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".