Bibliographic record
Abstract
This paper explores the phenomenon of a single devotional image identified with multiple deities by drawing from both premodern and modern Tibetan guidebook literature and ethnographic work. It engages the Tibetan-Newar Buddhist interface in the Kathmandu Valley with a focus on the Mūl Dīpaṃkara Buddha of Bhaktapur (alias Speaking Tārā, Sgrol ma gsung byon). The essay provides the first chronology of relevant literature and traces what has historically been of interest to Tibetan Buddhist pilgrims in Bhaktapur. The contemporary Dīpaṃkara/Speaking Tārā identification appears to supervene an older conflation occurring until the 18th century, when Tibetan pilgrims identified the Hindu Tantric goddess Taleju, the tutelary deity of the Malla kings who resides in Bhaktapur’s Royal Palace, as Speaking Tārā. The paper offers a preliminary investigation of this development and reflects on spatialized shifts in Tibetan pilgrimage practices.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".