On the Compatibility of Brain Enhancement and the Internal Values of Sport
Bibliographic record
Abstract
Elite athletes are characterized by their high level of performance in sport. Since the very beginnings of sport, it has been understood that physical and physiological abilities influence the performance of athletes. Advances in scientific knowledge, especially sport psychology and neuroscience, seem to confirm this intuition and consequently it is possible to characterize elite athletes as having an extraordinary combination of physical and mental abilities. Techniques and substances that contribute to enhancing physical characteristics of athletes have also been well known for ages. But it is now possible to make use of other techniques and substances that not only enhance physical abilities but also cognitive capabilities, which seem to require greater consideration given their direct impact on the athlete’s brain. In this article, we examine two such techniques, cognitive enhancers and transcranial stimulators, and highlight the potential advantages and drawbacks that applying each one may have on sport. Given the relative novelty of these enhancement techniques and substances and the absence of conclusive evidence regarding their short- and long-term effects, we deem that their use ought to be strictly governed by cautionary principles. But due to that same lack of evidence, we believe that the possibility of examining the feasibility of applying these techniques to sport should not be denied.
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How this classification was reachedexpand
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".