Breaking Boundaries: Exploring Performance Enhancement and Anti-Doping Testing in Sports
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
Doping in sports, a persistent challenge spanning centuries, reflects a continuous evolution in both the methods used by athletes to enhance their athletic performance and the relentless pursuit of anti-doping efforts to combat these practices. While modern awareness of doping has heightened, tracing its roots unveils a historical narrative entrenched in the pursuit of athletic excellence and the quest for an edge over competitors. The history of doping traces back millennia, finding its origins in ancient athletic competitions like the Olympic Games, where athletes resorted to potions and tonics in the pursuit of enhanced performance. Over time, this quest has persisted, evolving into the use of modern performance-enhancing drugs, such as stimulants and anabolic steroids. Despite the lessons drawn from history and concerted efforts to educate athletes about the health risks and promote fairness, the allure of these substances endures. At the forefront of this global battle against doping stands the World Anti-Doping Agency (WADA), established in 1999 to set and uphold standards in combating sports doping. With a mission to coordinate and promote the fight against doping, WADA accredits laboratories worldwide with presently 30 accredited labs spanning 27 countries. The anti-doping code of WADA is adopted by more than 600 sports organizations. WADA-accredited laboratories are utilized by international sports federations (e.g., Federation Internationale de Football Association), national anti-doping organizations, the International Paralympic and Olympic Committees that oversee the Paralympic/Olympic games, professional sports leagues (Major League Baseball, National Basketball Association), and other major sport event organizers that test athletes for doping. Oftentimes, athletes’ accomplishments, reputations, and the virtue of fair play depend on the results of urine or blood tests. Our esteemed panel of experts unravel the complexities surrounding doping in sports, examining the historical backdrop, contemporary challenges, and concerted efforts of the scientific community to safeguard the integrity of sports through anti-doping measures.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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