Bibliographic record
Abstract
BACKGROUND: Little is known about the pattern of injury in short track speed skating. PURPOSE: To investigate the incidence and characteristics of injuries in short track speed skating. STUDY DESIGN: Retrospective study. METHODS: Ninety-five of 150 elite-level skaters (63.3%) were surveyed to collect information on training and competition load as well as on injuries sustained during the 1999-2000 competitive season. Injuries were characterized in terms of anatomic location, type of injury, time loss from training and competition, and circumstance of injury (acute onset during competition, on-ice practice, off-ice training, or insidious onset). RESULTS: Sixty-one of the 95 skaters (64.2%) reported sustaining at least one injury. The knee, ankle, spine, leg, and groin were the most commonly reported sites of injury. Skaters were also asked to list previous on-ice injuries. The two most common injuries occurring on-ice before the 1999-2000 season were lacerations from the knee down (11.1%) and ankle fractures (10.2%). CONCLUSION: The results of this study suggest that there is a high incidence of injury in competitive short track speed skating.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".