Śaivism and the Tantric Traditions
Bibliographic record
Abstract
This volume results from a symposium held at the University of Toronto in honour of Alexis G.J.S. Sanderson.The symposium was convened in March 2015 in anticipation of his retirement as the Spalding Professor of Eastern Religions and Ethics at All Souls College, Oxford University.The event was conceived by Srilata Raman, who worked tirelessly and resourcefully to make it a success.In this she was aided by Shaman Hatley, co-convener of the symposium, and a number of graduate students, especially Kalpesh Bhatt, Tamara Cohen, Larissa Fardelos, Nika Kuchuk, and Eric Steinschneider, to whom we offer our sincere thanks.It was immensely satisfying to have so many of Professor Sanderson's former doctoral students assemble from across the world for the occasion, students whose graduate studies at Oxford spanned more than three decades of Alexis Sanderson's teaching career.The volume is based mainly on papers presented in the symposium, with additional contributions by several of his former pupils who had not been able to present their work at that time (Parul Dave-Mukherji, Csaba Dezső, Csaba Kiss, Ryugen Tanemura, and Anthony Tribe), as well as by Diwakar Acharya, his successor to the Spalding Professorship.We would also like to extend our thanks and recognition to those who enriched the symposium with excellent papers, but who for various reasons could not include these in the present volume: Hans Bakker, Gudrun Bühnemann, Shingo Einoo, Alexander von Rospatt, and Somadeva Vasudeva.We would like to acknowledge the sponsors who made the symposium possible: All Souls College, Oxford University; the Centre for South Asian Studies,
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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 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".