Sport-related concussion and bodychecking in children and youth: Evaluation, management, and policy implications
Bibliographic record
Abstract
Concussions are a common injury both within and outside sport and recreational settings, and they remain a serious concern for children and youth. Any young person suspected of sustaining a concussion should be medically evaluated as soon as possible, and when the injury occurs during sport, the individual must be removed from play immediately to avoid secondary injury. A brief initial period of physical and cognitive rest is followed by supervised, stepwise return-to-learn and return-to-play protocols. All individuals involved in child and youth sports and recreation must be able to recognize risk for, and signs and symptoms of, concussion. They must also ensure that any participant suspected of sustaining a concussion is properly evaluated and managed by qualified medical personnel. Evolving data and literature have strengthened both our pathophysiological understanding of concussion and guidance for clinical management, especially related to acute care, persistent symptoms, and prevention. This statement also re-examines the relationship between bodychecking in hockey and injury rates, and advocates for a change in policy in youth hockey.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".