Bibliographic record
Abstract
This thesis aims to elucidate the Yoga of the Mokṣopāya, a philosophical story-text from tenth century Kashmir in which the sage Vasistha imparts teachings to the young Lord Rama on the illusory nature of the world and the path to liberation. In the Mokṣopāya we find a unique nondual idealist philosophy that teaches that the entire world is a dream of the cosmic mind—nothing is fundamentally real—and professes to convey the ultimate truth of all established philosophies while adhering to none in particular. The Mokṣopāya is most popularly known in its later recension as the Yogavāsiṣṭha—a well-known and important text of nondual Vedānta which has been transmitted, translated, and commented upon over the centuries––however, the Yogavāsiṣṭha has significant textual corruption which took place during the transmission of the Mokṣopāya sometime after it was composed. This dissertation draws upon the work of the Mokṣopāya project and the nearly complete critical edition of the Mokṣopāya which presents scholars with a unique opportunity to study this unknown nondual pre-Advaita Vedānta tradition. I suggest that the Mokṣopāya is a Yoga text grounded in a unique and idiosyncratic nondual Sāṃkhya system of knowledge with a strong Yogācāra Buddhist influence and similarities to early Haṭha Yoga. In fact, I suggest that a similar historical context could have led to the development of both Haṭha Yoga and the Mokṣopāya since many common elements are found between the two traditions. Specifically, the Mokṣopāya shares elements with Haṭha Yoga that include the raising of kuṇḍalinī, the intonation of the syllable OṂ, the central focus on prāṇa and kumbhaka, a doctrine of siddhis, a goal of jīvanmukti or embodied liberation, a notion of immortality in the body, a practice of conscious Yogic dying, a doctrine of the prāṇa-sun which is fire that consumes the apāna-moon which is water in a centre in the core of the body, and descriptions of yogins retreating to clean and beautiful but simple Yogic huts or caves to practice nirvikalpa samādhi on animal skin seats in the lotus posture with the openings of the body closed off to keep the flow of prāṇa inside.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".