Comparison of frequency and magnitude of head impacts experienced by Peewee boys and girls in games of youth ice hockey
Bibliographic record
Abstract
In youth ice hockey, girls are reported to suffer more concussions than boys, peaking around 13-14 years old, which may be related to differences in the level of brain trauma experienced by the players. The purpose of this research was to describe the differences in brain trauma characteristics, specifically the magnitude and frequency of head impacts between Peewee boys and girls from playing ice hockey. Thirty games of Peewee boys and Peewee girl's ice hockey were recorded to document the head impact events. These events were reconstructed using physical and computational techniques to estimate the strain to the brain tissue. The results found that Peewee boys experienced more head impacts than girls, specifically from the shoulder, ice, boards, and fist/punches (p < 0.05). The boys also experienced more medium strain category impacts (p < 0.05). These results identify that Peewee boys and girls engage in ice hockey differently, which affects the risk of brain trauma likely to be encountered while during game play, suggesting that the increased rate of concussion for girls may not be related to impact magnitudes within the sport but increased reporting of symptoms of concussion or gender differences in brain tissue response to an impact.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".