Bibliographic record
Abstract
<JATS1:p>“Functional Training Anatomy provides a much-needed connection of muscle- and movement-based perspectives on program design, emphasizing training patterns that are fundamental to performance across sports. Presenting an effective system of exercise categorization along with tips on how to correctly perform impactful exercises, Functional Training Anatomy is a great resource for all fitness and performance professionals.”</JATS1:p> <JATS1:p>—Kevin Neeld, PhD, Head Performance Coach for the Boston Bruins</JATS1:p> <JATS1:p>“Functional Training Anatomy does a great job of explaining the ‘why.’ I highly recommend it for anyone serious about training and performance.”</JATS1:p> <JATS1:p>—Ben Bruno, Celebrity Personal Trainer</JATS1:p> <JATS1:p>“If there is one training question that comes up time and again, it is Where do I start? Functional Training Anatomy is part of the answer!”</JATS1:p> <JATS1:p>—Charlie Weingroff, Physical Performance Lead and Head Strength and Conditioning Coach for the Canadian Mens National Basketball Team</JATS1:p> <JATS1:p>There is finally a resource that cuts through the clutter and misconceptions about functional training—one that covers all aspects of building purposeful, effective, and efficient programs that develop the power, strength, stability, and functional mobility needed to support the bodys demands in athletic performance and daily living.</JATS1:p> <JATS1:p>Functional Training Anatomy is a practical, illustrated guide that takes the guesswork out of training. Inside you will learn the following: The importance of mobility training and its impact on movement quality, performance, and injury reductionWarm-up activities to prepare for high-intensity activitiesMedicine ball and plyometric exercises to learn to create and absorb forceOlympic lifts, kettlebell swings, and jumping exercises to increase powerHip-dominant, knee-dominant, pushing, pulling, and core exercises to improve strength in the upper body, lower body, and core</JATS1:p> <JATS1:p>Throughout, you will see the inner workings of each of the exercises with superb full-color illustrations highlighting the primary and secondary muscles and connective tissue being used. The detailed instructions for the exercises ensure you execute each correctly and safely. Functional Focus elements depict how the exercises translate to specific activities. With comprehensive coverage, expert insights, and detailed anatomical illustrations, Functional Training Anatomy is the one-of-a-kind resource that you will turn to again and again.</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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.387 | 0.152 |
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".