Bibliographic record
Abstract
<JATS1:p>“Complete Conditioning for Hockey is highly recommended, not only for training but also for maintaining performance and avoiding injury during the season.”</JATS1:p> <JATS1:p>Alec Martinez</JATS1:p> <JATS1:p>Vegas Golden Knights</JATS1:p> <JATS1:p>Two-Time Stanley Cup Champion</JATS1:p> <JATS1:p>“van Asten’s holistic approach to training leaves no stone unturned. Complete Conditioning for Hockey is a must-have resource for all hockey players and coaches alike.”</JATS1:p> <JATS1:p>Dillon Dube</JATS1:p> <JATS1:p>Calgary Flames</JATS1:p> <JATS1:p>IIHF World Juniors Champion and Team Captain</JATS1:p> <JATS1:p>“Ryan van Asten continues to innovate by collaborating with the brightest minds in the game. Complete Conditioning for Hockey is an excellent resource for anyone serious about this sport.”</JATS1:p> <JATS1:p>Hayley Wickenheiser</JATS1:p> <JATS1:p>Four-Time Olympic Gold Medalist</JATS1:p> <JATS1:p>Seven-Time IIHF World Champion</JATS1:p> <JATS1:p>Hockey Hall of Fame Inductee</JATS1:p> <JATS1:p>Hockey players are stronger, quicker, and more agile than ever before. To compete and win in today’s game requires superior stamina and strength. Complete Conditioning for Hockey will help get you there with a year-round training plan that will get you primed for a winning season.</JATS1:p> <JATS1:p>Author Ryan van Asten, one of the leading strength and conditioning coaches in the sport, shares the same approach he’s used with elite players and teams at the professional and national levels. Complete Conditioning for Hockey covers every aspect of physical preparation, including these: Movement optimizationEndurance and strengthFunctional powerAcceleration and speedChange of direction and reactivityRecovery and injury risk reduction</JATS1:p> <JATS1:p>Learn to assess hockey skills and then select from more than 145 exercises to address weaknesses and enhance your strengths. Position-specific guidelines further help you personalize your plan, and seasonal training plans provide specific information and exercises for the off-season, preseason, in-season, and postseason to ensure optimal peaking and recovery.</JATS1:p> <JATS1:p>Complete Conditioning for Hockey also features a detailed analysis of player movement and conditioning needs, taking the process of physical preparation for hockey to a whole new level. This is next-level performance training that will elevate your game.</JATS1:p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.411 | 0.172 |
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".