A Motivational Model of Performance-Enhancing Substance Use in Elite Athletes
Bibliographic record
Abstract
Very little research has been done so far on the psychological determinants of performance-enhancing substance use in sports. The purpose of this study was to propose and test a motivational model of performance-enhancing substance use with elite athletes ( N = 1,201). The model posits that intrinsic and extrinsic motivation toward sport predict, respectively, positive and negative sportspersonship orientations, which in turn negatively predict the use of performance-enhancing substances. Participants completed a questionnaire assessing intrinsic and extrinsic motivation toward sport, sportspersonship orientations, and performance-enhancing substance use in the last 12 months. Findings supported the motivational model. The present findings support the role of intrinsic motivation and sportspersonship orientations in preventing athletes from engaging in unethical behavior such as the use of performance-enhancing substances. Future research should seek to replicate this model with professional and Olympic athletes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".