Bibliographic record
Abstract
Sport-related injury is the leading cause of injury in youth and are costly to the healthcare system. Disallowing body checking in Pee Wee (ages 11-12) ice hockey has been found to be effective in reducing the risk of injuries and associated healthcare costs, however the impact on injury risk and costs in Bantam (ages 13-14) remains unknown. The objectives of this study are to compare injury rates and costs between non-elite (lower 70% divisions of play) Bantam players in leagues allowing body checking to where body checking is disallowed, and to project the overall change on the number of injuries and costs to the Alberta healthcare system if body checking were disallowed for all Bantam players over one season. The study found that disallowing body checking reduced injuries by 4.32/1000 player-hours and saved cost by $1,737/1000 player-hours in the public healthcare system. This policy change could potentially prevent 1,102 injuries that occur during games and save $331,522 in the public healthcare system over one season in Alberta. However, this study used injury rates adjusted only for exposure hours and team clustering, but not other covariates or repeated observations. Thus further analysis is required before policy recommendations can be made.
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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 | 0.012 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".