Orthopaedic Rehabilitation Science: Principles for Clinical Management of Bone
Bibliographic record
Abstract
Orthopaedic Rehabilitation Science: Principles for Clinical Management of Bone Editor: LUNDON, Katie, B.Sc. (PT), M.Sc., Ph.D. (University of Toronto) Bibliographic Data: (ISBN: 0–7506-7155–6, Butterworth-Heinemann, 2000) 204 pages, contributors, soft cover Audiences: Physical Therapists, Physical Therapy StudentsSubjects: Physical Therapy, Physical Medicine, and Rehabilitation Other Info: The book contains black-and-white illustrations. DESCRIPTION: This book is a presentation of current basic science concepts underlying the anatomy, physiology, biomechanics, and pathophysiology of bone. The effects of exercise and immobilization and the diagnosis and clinical management of bone tumors, osteoporosis, osteoarthritis, rheumatoid arthritis, and other bone disorders are also covered. PURPOSE: The purposes are fourfold: to present current basic science background underlying mineralized dense connective tissue dynamics in health and selected disease states commonly encountered in clinical practice; to serve as a practical reference by offering a comprehensive and integrated text on bone metabolism, selected skeletal disorders, and pertinent applications to clinical practice in physical rehabilitation; to facilitate the understanding of the basic science mechanisms of skeletal pathophysiology that underlie clinical decision making in the assessment and treatment of selected mineralized connective tissue disorders and metabolic bone diseases; and to enhance clinical practice by providing current rationale as well as potential research directions in the assessment and treatment of conditions affecting bone. AUDIENCE: The book is written for health professional students and practicing clinicians. The editor and her two contributing authors have produced an important contribution to the literature on orthopedic rehabilitation science of adult bone. Her persuasive manner of writing contributes to her success in fulfilling her objectives. ASSESSMENT: This book is both academically rigorous and clinically relevant. It is an essential addition to the library of anyone studying or practicing in the field of orthopedic rehabilitation science. SCORE: Weighted Numerical Score: 94 - ****
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.016 | 0.021 |
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".