Abstract 1: Mental health of NextGen student-athletes: How are they doing at college and university?
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
NextGen student-athletes experience multiple stressors that are present in both in sport and in school context, including training in highly demanding environment while also receiving little financial support from their sports federations and balancing two schedules (school and training) that are independent to one another. While many studies have explored symptoms of mental disorders among student-athletes, little is known regarding the NextGen student-athletes’ population. The purpose of the current study was to 1) identify the proportion of symptoms of mental disorders (depression, eating disorders and anxiety) and the level of well-being of NextGen student-athletes and 2) to compare the proportion of these symptoms of mental disorders and the level of well-being in NextGen college student-athletes and NextGen university student-athletes. 184 NextGen student-athletes completed an online survey. The results revealed that 20.7% of NextGen student-athletes met the criteria for depressive symptoms, 7.1% for eating disorders symptoms, and 19.0% for anxiety symptoms. 51.1% reported a low to moderate level of well-being. NextGen university student-athletes showed significantly higher levels of well-being than NextGen college student-athletes, while NextGen college athletes reported significantly more depressive symptoms. College athletes are typically younger and may be less equipped with coping strategies compared to university athletes. These findings underscore the need for targeted mental health interventions and support systems tailored to the specific needs of NextGen student-athletes, especially those at the collegial level. Schools and sports federations should consider implementing programs to address mental health and develop coping strategies to help these athletes manage their dual responsibilities effectively.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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