Bibliographic record
Abstract
Abstract My claim in this article is that the thesis that Buddhism has no God, insofar as it is taken to apply to Buddhism universally, is false. I defend this claim by interpreting a central text in East-Asian Buddhism – The Awakening of Faith in Mahāyāna – through the lenses of perfect being theology (PBT), a research programme in philosophy of religion that attempts to provide a description of God through a two-step process: (1) defining God in terms of maximal greatness; (2) inferring the properties or attributes that God must have in virtue of satisfying the definition. My argument comprises two steps. First, I argue that, since PBT is a method for providing a description of God starting from a definition of God, any text that contains a PBT ipso facto contains a notion of God. Second, I argue through textual evidence that The Awakening articulates a PBT, concluding that it contains a notion of God. Since the method of PBT leaves open what descriptions are to be inferred, my argument allows me to conclude that a text contains a notion of God without previously committing to any particular conception of the divine, which makes it particularly versatile and powerful.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.034 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".