Bibliographic record
Abstract
This book is an introduction to Patañjali’s Yoga Sūtras and its core concepts about the self, suffering and consciousness. It highlights its relevance to contemporary theories and applications in the fields of psychology and health. The book adopts sociology of knowledge as a broad framework as it delves into the core concepts of yoga psychology in the Yoga Sūtras in the context of worldviews and frameworks present in the Upanisads and the Sāṁkhya system. It provides an interpretation of Kriya Yoga and its practice in pursuit of spiritual upliftment, and concept of Samādhi or the transformation of consciousness using the language and idiom of contemporary psychology. It draws parallels between yoga psychology and the ideas of Husserl, Jung and Piaget while reconciling the seemingly disparate cultural, religious, spiritual, and intellectual traditions of eastern spirituality and schools of modern psychology. The book also discusses yoga psychology in relation to psychoanalysis, radical behaviorism as well as mainstream, cognitive, humanistic, transpersonal and indigenous psychologies and provides a guide to both the theories of yoga psychology and its applications. This book will be of interest to students, teachers, researchers and practitioners of psychology, psychiatry, philosophy and yoga psychology as well as to psychologists, psychiatrists, counselors, mental health professionals, clinical psychologists, and yoga enthusiasts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".