Exploring the unique challenges faced by female university athletes experiencing prolonged concussion symptoms.
Bibliographic record
Abstract
The present study explored female university athletes’ experiences with protracted concussion symptoms, including the factors that impeded or facilitated their recovery. Five female athletes who competed in 4 different university sports in Canada participated in this study. All participants suffered concussion symptoms that lasted from 10 weeks to 14 months. An interpretative phenomenological analysis was used to inductively analyze the interview data. The participants discussed the unique challenges that stemmed from suffering a prolonged concussion while competing in university sport, which included serious emotional responses (depression, attempted suicide) and reduced academic performances. Participants also alluded to the types of emotional and informational support from their coaches, doctors, athletic therapists, and parents that facilitated their recovery. Overall, the detailed descriptions provided by the participants in this study offer a rare look into their lived experiences of university athletes suffering from protracted concussion symptoms. Given the serious emotional responses reported in this study, the present findings highlight the need to monitor concussed university athletes’ psychological health and academic performance. These results provide individuals such as coaches, medical professionals, and sport psychology specialists with detailed information about the impact of protracted symptomatology on an athlete from a personal (social), athletic, and academic perspective, which may enhance their applied work with this population. The present findings also highlight the need for social support for concussed university athletes throughout their recoveries to help them cope during this important and challenging time of their lives.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".