THE ANALYSIS OF INDIVIDUAL SKILLS OF ICE SLEDGE HOCKEY PLAYERS AT THE TORINO 2006 PARALYMPIC TOURNAMENT
Bibliographic record
Abstract
Ice Sledge Hockey is one of the fastest growing winter Paralympic sports. There has been little research performed on ice sledge hockey and consequently the information on performance parameters is scarce. The purpose of this study is to determine the differences in the level of individual ice sledge hockey skills among players of eight teams participating in Paralympic tournament Torino 2006 using observation protocol for assessment of key technical skills in Ice Sledge Hockey (Beckman, KudlĂĄÄek & Vanlandewijck, 2007). The players involved in this study were players from Paralympic tournament. Four of the five best players are from Canada and one is from Norway. While we presented clear differences of individual players which are associated with actual standings in the Paralympic tournament we found only significant differences are total scores (F=5.29, p0.01) and skating subscale (F=3.66, p0.05).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".