Bibliographic record
Abstract
The principal objectives of this text are to provide a concise compilation of complementary medicine therapies and to aid practitioners identify others with whom collaborative patient care would be beneficial. The text provides an evidence-based approach to examining various fields under the complementary medicine realm. The book contains 70 chapters, divided into 10 sections: Expanding the Continuum of Care; Clinical Nutrition; Exercise and Fitness; Mind-Body Medicine; Self Care; Therapeutic Massage; Acupuncture; Chiropractic; Herbal Therapy; and Models of Integrative Medicine. Each section discusses underlying theories and provides information on clinical strategies and research. Several sections have chapters listing resources for particular modes of therapy, which unfortunately lack a Canadian context. The text is well indexed and information is easily located. Numerous tables, which act as an adjunct to key text points, are found throughout the book. Although there are few illustrations, the chapters are concise and organized in a way which provides a logical flow to the text. The chapters are well referenced and an attempt to provide the most current and relevant research is apparent. Although various sections may not be of interest to some chiropractors, the text does an excellent job in providing preliminary information regarding various fields of complementary care. The chiropractic section contains nine chapters, whose topics range from overcoming barriers to the integration of chiropractic to research on spinal physiology. This text is an excellent resource for any clinician wanting to practice in an interdisciplinary setting or interested in providing collaborative patient care when appropriate. In today’s climate of health care, there are limited models of integrated health care. This text is useful, especially for allopathic physicians, to familiarize oneself with the evidence-based approach of complementary medicine.
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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.061 | 0.032 |
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".