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Record W3092872604 · doi:10.1163/9789004432802

Śaivism and the Tantric Traditions

2020· preprint· en· W3092872604 on OpenAlexaff
Dominic Goodall, Shaman Hatley, Harunaga Isaacson, Srilata Raman

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWatsonScholarshipBuddhismSanskritHistoryIntellectual historyClassicsTheologyAnthropologyReligious studiesPhilosophyArt historyArtSociologyLiteratureLawPolitical science

Abstract

fetched live from OpenAlex

Academic study of the tantric traditions has blossomed in recent decades, in no small measure thanks to the magisterial contributions of Alexis G.J.S. Sanderson, until 2015 Spalding Professor of Eastern Religions and Ethics at Oxford University. This collection of essays honours him and touches several 􀀄􀀅elds of Indology that he has helped to shape (or, in the case of Śaivism, revolutionised): the history, ritual, and philosophies of tantric Buddhism, Śaivism and Vaiṣṇavism; religious art and architecture; and Sanskrit belles lettres. Former students and other experts in􀀆􀀇uenced by his scholarship here o􀀈fer papers that contribute signi􀀄􀀅cantly to our understanding of the cultural, religious, and intellectual histories of premodern South and Southeast Asia. Readership: Anyone interested in Asia’s tantric traditions, philosophy and religion in premodern India, Sanskrit, and Indology. The book will be essential reading to specialists and advanced students of Śaivism and Tantric Buddhism.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.013
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.074
GPT teacher head0.210
Teacher spread0.136 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations9
Published2020
Admission routes1
Has abstractyes

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