Incidence Study of Head Blows and Concussions in Competition Taekwondo
Bibliographic record
Abstract
OBJECTIVE: To examine the incidence of head blows and concussions in competition taekwondo. DESIGN: Incidence cohort design. SETTING: Taekwondo tournament in 2001, in South Korea. PARTICIPANTS: A total of 2328 competitors (female, 676; male, 1652; age, 11-19 years) from 424 schools participated in the tournament. All recipients of head blows were interviewed immediately after the match. All matches were recorded on videotape. MAIN OUTCOME MEASURES: Head blow and concussion rates were calculated. Also, factors associated with head blows and concussions were analyzed. RESULTS: The incidence of head blows and concussions was 226 and 50 per 1000 athlete exposures, respectively. Only 17% of competitors reported that they had had a concussion in the last 12 months. A multinomial logistic model showed that head blows and concussions were associated with young age and a lack of blocking skills. CONCLUSIONS: The incidence of head blows and concussions is high in competition taekwondo. Promoting blocking skills to prevent head blows could decrease concussions in taekwondo.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".