Becoming the Dancer: Dissolving the Boundaries between Ritual, Cognition, and Theatrical Performance in Non-dual Śaivism
Bibliographic record
Abstract
This paper explores the connection between cognitive ritual and theatrical performance in non-dual Śaivism based on the textual study of the Mahārthamañjarī written by Maheśvarānanda (13th–14th centuries) and related texts. The Mahārthamañjarī incorporates the image of the dancing Śiva of Chidambaram to expound certain ideas of non-dual Śaiva doctrine and practice. One of the most important issues discussed by Maheśvarānanda was the meaning of Śiva’s dance and the possibility for a man or a human agent to become Śiva-the Dancer by performing the Five Acts (pañcakṛtya). Surveying the different meanings of pañcakṛtya that have developed over time, this paper explores how Maheśvarānanda’s project of discovery one’s own status as Śiva-the Dancer is essentially a discovery of being an agent of the Five Acts.
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 | 0.002 | 0.003 |
| 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 | 0.053 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".