Mpu Monaguna's Sumanasantaka: An Old Javanese Epic Poem, its Indian Source and Balinese Illustrations
Bibliographic record
Abstract
Mpu Monaguna's early thirteenth century epic poem Sumanasantaka is a vernacular rendering of Kalidasa's story of Prince Aja and Princess Indumati told in the Raghuvamsa. In it the poet exploits his source narrative to describe and comment on the Javanese world of his times. In Mpu Monaguna's Sumanasantaka the authors offer an edited text and translation of Mpu Monaguna's epic kakawin and extensive commentary on the editing of the manuscripts and history of the poem and its story, the relationship between the Old Javanese poem and Kalidasa's Raghuvamsa, the way in which the poem imagines the lived environment of ancient Java in the early thirteenth century and Balinese painted representations of the story of Prince Aja and Princess Indumati.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".