Preface. Beiträge zur Kultur und Geistesgeschichte Asiens|In Clear Words Sitzungsberichte der philosophisch-historischen Klasse 863. Band|Vol. I Introduction, Manuscript Description, Sanskrit Text|
Bibliographic record
Abstract
My interest in Madhyamaka goes back to the early years of my graduate studies at the University of British Columbia (UBC) in Vancouver, Canada, and I remember well the discussion in which my esteemed Sanskrit professor Ashok Aklujkar suggested that I consider turning my attention to the Prasannapad, a text I was at the time familiar with by name only.Trusting the guidance of this man who seemed to know everything about the enchanting world of the language of the gods, I agreed to do so, and the first seeds for the present book were sown.I remain very grateful for Prof. Aklujkar's expert tutelage in Sanskrit and the introduction to Indian philosophical thought, as well as
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.008 | 0.009 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.010 |
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; both teacher heads agree on what is shown here.
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".