Chinese and Tibetan Sources on the<i>Dhāraṇī</i>in Roll Seven of the *<i>Śūraṃgama-sūtra</i>
Bibliographic record
Abstract
My research here concerns roll seven of the apocryphal Shoulengyan jing 首楞嚴經 [*Śūraṃgama-sūtra, Book of the Hero’s March] (T no. 945) because it contains the Lengyan zhou 楞嚴呪 [*Śūraṃgama spell], which is used in the Lengyan Assembly today in Chinese, South Korean and Japanese Buddhist monasteries on an annual basis. The presence of the *Śūraṃgama spell confirms for some scholars the authenticity of the Shoulengyan jing, as opposed to its status as an apocryphal composition in China. In this article I investigate both premodern Chinese and Tibetan sources regarding the dhāraṇī in roll seven of the Shoulengyan jing to bolster the argument that this scripture ought to be considered an apocryphon, and that the question of who composed the Shoulengyan jing remains problematic.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".