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Tantric Dimensions of Alchemy

2023· book-chapter· en· W4353060334 on OpenAlexaff
Patricia Sauthoff

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAlchemyMantraPossession (linguistics)LiteratureSanskritContext (archaeology)ArtPhilosophyHistoryTheologyArchaeology

Abstract

fetched live from OpenAlex

Abstract This chapter examines the tantric dimensions found within Sanskrit alchemical textual tradition called rasaśāstra. This canon of literature, which dates to the 11th century to today abounds in references to early tantric alchemists, the use of mantra and maṇḍala within alchemical healing practices, and the protection of children from illness caused by demonic possession. The deities of rasaśāstra tend toward the tantric as well, with familiar deities such as Bhairava, Tripurasundarī, and Cāmuṇḍā worshipped during the processing of medical mercurials. This chapter explores the rasaśāstra canon for tantric elements and traces the how the texts combines herbal, metal, mineral, and spiritual medicines to provide a more complete understanding of both healing and religion in the medieval and pre-modern South Asian context.

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)0.000
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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.067
GPT teacher head0.266
Teacher spread0.199 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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