Sport-Related Injuries in Canadian Interuniversity Athletics: A Descriptive Epidemiologic Analysis of Knee Injuries, 2014-2017
Bibliographic record
Abstract
The purpose of this study was to identify and establish the extent of sport-related injury in Canadian university varsity athletics, focusing on knee injury and significant sport injury. Of the SRIs reported, 20% were significant in nature and 23.2% were knee injuries. A larger percentage of knee SRIs were significant compared non-knee SRIs. Those suffering a knee injury were 4.5 times more likely to suffer a significant injury than those afflicted with non-knee injuries. \nMens volleyball athletes are two times more likely to suffer a knee injury, once controlled for sport group. Once controlled for sport, mens hockey athletes are 2.3 times more likely to suffer a significant injury than any other sport (Table 4). Mens basketball has the highest rate of injury (3.32 per athlete) during this reporting period and football has the highest rate of significant knee injury at 0.27 per athlete (Table 1).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".