A special tribute to Dr. Jack and Cheryl Taunton
Bibliographic record
Abstract
This editorial introduces the special tribute series dedicated to Dr. Jack and Cheryl Taunton. This special tribute includes more than 20 commentaries from leading exercise scientists, academics, athletes, physicians, professional teams and organizations, friends, and family from around the international community. This series outlines the key roles that Jack and Cheryl have played in the creation and implementation of major regional, national, and international events and organizations (like the 2010 Winter Olympic and Paralympic Games, the Vancouver Sun Run, the Vancouver Marathon, SportMedBC, the Grand Prix of Cycling, and the Canadian Health & Fitness Institute). This series also outlines the influential mentorship roles that they have played in the lives of so many successful physicians, athletes, academics, and students from throughout the world. A central theme of these commentaries is the compassion and consideration that Jack and Cheryl have provided to others. Collectively, these articles highlight the truly remarkable careers of Jack and Cheryl and their influential roles in the lives of others.
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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 | 0.004 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.021 |
| Insufficient payload (model declined to judge) | 0.030 | 0.016 |
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".