Study of an Anti-Doping Education Program in Spanish Sports Sciences Students
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 continues to be one of the biggest risks to the credibility of elite sports, and its practice remains widespread among athletes despite improved controls. Athletes' support personnel could be key to preventing doping behavior. In this sense, anti-doping education for this population appears as a possible strategy to reduce doping behaviors in elite sport, but these programs must be evaluated and designed based on scientific evidence. The aim of this research is to explore the impact of an anti-doping education program about substances perceived efficacy, ill-health short- and long-term effects, and the morality of doping substance use in Spanish sports sciences students. METHOD: A total of 145 students of Physical Activity and Sport Sciences (PASS) from different Spanish universities who took an online anti-doping educational course of the Spanish Anti-Doping Commission (CELAD) answered a questionnaire on their perceptions about doping before, after, and four months later. RESULTS: The results show that the course reduced students' ignorance about the effects of substances on performance and health and increased their moral judgment and feelings against doping. DISCUSSION: The results are in line with previous research that showed that the moral stance against doping can be improved through educational programs. CONCLUSION: Online educational interventions can be effective in reducing doping behavior, so their future implementation among ASP can be an effective strategy to reduce doping behavior.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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