Bibliographic record
Abstract
In this paper, I intend to make a case for Buddhist phenomenology. By Buddhist phenomenology, I mean a phenomenological interpretation of Yogācāra’s doctrine of consciousness. Yet, this interpretation will be vulnerable if I do not justify the way in which the anti-essentialistic Buddhist philosophy can countenance the Husserlian essence. I dub this problem of compatibility between Buddhist and phenomenology the ‘problem of essence’. Nevertheless, I argue that this problem will not jeopardize Buddhist phenomenology because: 1) Yogācārins, especially late Yogācārins represented by Xuanzang do not articulate emptiness as a negation but as an affirmation of the existent; 2) Husserl’s phenomenological essence is not a substance that Yogācārins reject but the ideal sense (Sinn) that Yogācārins also stress. After resolving the problem of essence, I formulate Buddhist phenomenology as follows: on the epistemological level, it describes intentional acts of consciousness; on the meta-epistemological level, it entails transcendental idealism.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".