Reading the History of a Tibetan Mahakala Painting: The Nyingma Chod Mandala of Legs Ldan Nagpo Aghora in the Royal Ontario Museum
Bibliographic record
Abstract
This thesis presents a detailed study of a large Tibetan painting in the Royal Ontario Museum (ROM) that was collected in 1921 by an Irish fur trader named George Crofts.The painting represents a mandala, a Buddhist meditational diagram, centered on a fierce protector, or dharmapala, known as Mahakala or "Great Black Time" in Sanskrit.The more specific Tibetan form depicted, called Legs Idan Nagpo Aghora, or the "Excellent Black One who is Not Terrible," is ironically named since the deity is himself very wrathful, as indicated by his bared fangs, bulging red eyes, and flaming hair.His surrounding m andala includes over 100 subsidiary figures, many of whom are indeed as Many people have helped and supported me through the research and writing of this thesis.I wish to thank my advisor, Dr. John Huntington, who introduced me to the wonderful study of Buddhist Art History.With his intellectual guidance and encouragement I have learned how to ask the right questions, and grown as both a scholar and a person.I am especially grateful for his unending kindness.My sincere gratitude also goes to D~. Susan Huntington who has provided insightful
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".