Two Concepts of Meditation and Three Kinds of Wisdom in Kamalasila’s Bhavanakramas
Bibliographic record
Abstract
A close reading of the three Bhavanakramah texts, written by Kamalasila (740–795 CE), reveals that their author was aware of two competing concepts of meditation prevalent in Tibet at the time of their composition. The two concepts of meditation,associated with the Sanskrit words bhavana and dhyana, can be related respectively to the Indian and Chinese sides of the well-known debates at bSam yas. The account of the Mahayana path outlined in these texts implies an acceptance of the precedence of bhavana over dhyana. In this paper I argue that Kamalasila advocated bhavana – a conception of meditation which encompasses non-conceptual dhyana, but which also includes a discernment of reality (bhuta-pratyaveksa) that is conceptual in nature. Such conceptual discernment should not be understood simply as a process of ordinary rational understanding (cintamayi prajña) but rather as constituting a special kind of meditative wisdom (bhavanamayi prajña). A failure to recognize the subtle differences between Kamalasila’s employment of the terms dhyana and bhavana, along with his advocacy of the latter, could easily lead to mistranslation and, with this, a basic misunderstanding of his position. In particular, it could lead to a conception of insight (vipasyana) that is overly intellectual in nature. Given the historically important role that these texts played in the formation of Tibetan Buddhism, the implications of such a misconception could be far-reaching. This paper attempts to clarify the key meditation terminology found in the Bhavanakramas as well as demonstrate the rationale for using ‘meditation’ as the default translation for bhavana.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.037 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".