Bibliographic record
Abstract
Abstract This article introduces and analyzes the Gurustutiratnāvalī, a sophisticated eighteenth-century Sanskrit hymn composed by Govinda Kaula of Kashmir in praise of his teacher’s teacher, the prolific author Sāhib Kaula. It evaluates the evidence for Govinda Kaula’s dating, lineage, and literary activity and presents the first published edition and translation of select verses of his Gurustutiratnāvalī based on four manuscripts. The analysis of the hymn focuses on the ways the author equates a specific guru in his lineage—Sāhib Kaula—with the supreme deity Śiva. Using this hymn as a starting point, the article considers the history of guru-praise (gurustuti) and guru-devotion (gurubhakti) in Kashmir as well as in South Asia more broadly. Lastly, it suggests that further work on this lineage and the religious dynamics of the eighteenth and nineteenth century will prove crucial for helping us understand the emergence of what came to be popularly known as “Kashmir Śaivism.”
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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 | 0.001 |
| 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 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".