Bibliographic record
Abstract
The practice of enhancing athletic performance through foreign substances was known from the earliest Olympic games. In 1967, the International Olympic Committee (IOC) established a Medical Commission responsible for developing a list of prohibited substances and methods. Drug tests were first introduced at the Olympic winter games in Grenoble and at the summer games in Mexico City in 1968. In February 1999, the IOC convened the World Conference on Doping in Sport in Lausanne, Switzerland. The Lausanne Declaration on Doping in Sport recommended creation of an International Anti-Doping Agency. The World Anti-Doping Agency (WADA) was formed in Lausanne, Switzerland on the basis of equal representation from the Olympic movement and public authorities. One of the mandates of WADA was to harmonize the Olympic antidoping code and develop a single code applicable and acceptable for all stakeholders. The world antidoping code developed by WADA included creation of several international standards (IS). The purpose of each IS was harmonization among antidoping organizations. The ISs were developed for laboratories, testing, the prohibited list, and for therapeutic use exemptions (TUE). The objective of this manuscript is to present a brief history of doping in sport and describe creation of WADA in 1999. The components of the World Anti-Doping code (in particular, the Therapeutic Use Exclusion program or TUE) is described. The WADA code defines a TUE as "permission to use, for therapeutic purposes, a drug or drugs which are otherwise prohibited in sporting competition." Experiences of the Canadian Centre for Ethics in Sport Doping Control Review Board are presented because this national TUE committee has been operational for over 12 years. The challenge of developing a rigorous global antidoping program requires acceptance of doping as a problem by sport organizations, athletes, and public authorities. Individual stakeholders must be prepared to preserve the values of sport, which means free from doping. This will require vigilance by all interested parties for the benefit of elite athletes and society overall.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".