A Study on the Performance of Breakout Strategies in Dump for Improving an Athletic Performance of Men’s National Ice Hockey Players
Bibliographic record
Abstract
The purpose of this study is to present basic data on how to efficiently breakout when an opponent dumps th puck so that the Korean men’s national team ice hockey players can improve their performance. During the dump of the opponent, one of the defenses closest to the Puck must perform the shoulder check while skating quickly and own the puck, and the other defense should perform a cut-off so that the partner has a little time. After owning the dumped the puck, 2nd Quick, Center in Pocket, Up Wall, Push the Pace, Goalie Touch should be performed in order to switch the attack smoothly. Korean ice hockey has adopted or invited numerous foreign leaders from advanced ice hockey countries such as Canada, the United States, Russia, Sweden, Finland, and the Czech Republic to apply their strategies as they are, but since good results have not always appeared. So Korea ice-hockey coaches should create the Korean-style ice hockey system.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".