Book Reviews
Bibliographic record
Abstract
s long-awaited second book has finally arrived.This text is an excellent resource for all physical therapists-there is something for everyone, from the experienced clinician to the physical therapy student.Her first book set out her theories of movement impairments using a kinesiopathological model; this text introduces broader concepts while updating the various movement-disorder syndromes.The importance of using diagnostic labels to define each movement disorder is emphasized.The book is well organized and easy to follow.Each anatomic region is covered in a chapter; this approach makes it easy to understand the diagnosis as well as the staged management of each musculoskeletal pain syndrome.Each chapter opens with a concise introduction; this is followed by discussions of alignment considerations, normal movement and muscle actions, and movement-system disorders.Each chapter concludes with a case study that includes a history, alignment movement analysis, and diagnosis and treatment protocols.A helpful clinical summary is provided for each movement syndrome, re-emphasizing the key concepts the authors wish readers to retain.The clinical reasoning that accompanies the discussion is excellent and helps guide the clinician in a thought-provoking manner.The text is organized in a way that allows readers to analyze the mechanical cause of the movement impairment and plan appropriate clinical interventions.Explanations of the examination and corrective exercise are extremely detailed, and modifications of functional activities for patients are offered.An accompanying Web site includes video clips demonstrating the tests and procedures.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.398 | 0.395 |
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".