Concussion History and the Impact on Softball Batting and Reaction Time in Collegiate Softball Players: A Pilot Study
Bibliographic record
Abstract
The negative effects of concussion on cognitive and physical performance can linger beyond return to sport and may result in reduced sport performance. The effect of concussion history, including time since concussion and number of concussions, on sport performance is not well understood. The purposes of this study were to examine the effects of concussion history on softball batting measures, such as pitch recognition, swing timing, and swing decision making, and to compare a computerized reaction time (RT) test to a sport-specific RT test. A cross-sectional study design was used to evaluate softball batting and RT measures among collegiate softball players. Eighteen female collegiate softball players were recruited to participate. Participants were divided into two groups: those with previous concussion (n = 7; mean age, 20.7 years; mean number of concussions, 1.3; mean time since last concussion, 3.9 years) and those without (n = 11; mean age, 20.4 years). Pitch recognition, swing timing, and swing decision making were based on participants’ responses to pre-recorded pitching videos. Computerized RT included simple, choice, and go/no-go tests. Pitch recognition, swing timing, and swing decision making were similar between groups. There was not a significant correlation between computerized RT and swing RT. The preliminary findings suggest that collegiate softball players with concussion history can perform similarly on sport-specific tasks to those without concussion history, and sport-specific RT tests may provide unique information beyond computerized tests about an athlete’s ability to perform in their sport.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 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 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".