Examining the Determinants of Skating Speed in Ice Hockey Athletes: A Systematic Review
Bibliographic record
Abstract
ABSTRACT: Silvestri, MA, Cleather, DJ, Callaghan, S, Perri, J, and Legg, HS. Examining the determinants of skating speed in ice hockey athletes: a systematic review. J Strength Cond Res 39(4): 507-514, 2025-Ice hockey is a physically demanding sport that requires athletes to maintain high skating speed for optimal performance. This systematic review examines existing research on testing ice hockey athletes in relation to skating speed and identifies key metrics to inform future decisions on the most suitable testing regimes. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for the literature search. After the literature search and application of inclusion and exclusion criteria, 19 studies were deemed eligible. The identified measures that showed a significant correlation with ice skating performance were on-land sprinting, jumping, body composition, and anaerobic power. These findings highlight the multifactorial nature of skating performance and suggest that a range of tests may be necessary to identify critical factors to overall skating performance; however, further research is needed to confirm this hypothesis.
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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 | 0.010 | 0.048 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".