Visual images of Vimalakīrti in the Mogao caves (581-1036)
Bibliographic record
Abstract
This thesis examines the visual images of Vimalakirti, an ancient Indian lay Buddhist, painted on the walls of the Buddhist cave complex at Dunhuang, Gansu province, between 581 and 1036. The sixty-nine Vimalakirti, paintings preserved at Dunhuang are a valuable source for the exploration of historical, religious, and artistic dimensions of wall paintings and sutras. These visual images, together with other textual sources such as sutras, commentaries, and inscriptions, suggest a variety of interesting questions: Why was this theme repeatedly represented? Do the images all have the same prototype? Is there a spiritual function contained in the layout of the caves and composition of the wall paintings? Did the meaning of these images change according to historical context? Did the patrons have a political scheme in mind when commissioning these devotional artworks? While it is difficult to provide definitive answers to all these questions, this thesis will attempt to clarify them and offer preliminary answers on the basis of available visual and textual sources.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 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".