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Record W2800275298 · doi:10.18732/hssa.v6i0.25

Premodern Yoga Traditions and Ayurveda

2018· article· en· W2800275298 on OpenAlexvenueno aff
Jason Birch

Bibliographic record

VenueHistory of Science in South Asia · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAsceticismPraxisTerminologyKarmaMonasticismEleventhLiteratureEpistemologyPhilosophyHistoryPsychologyLinguisticsArtTheologyBuddhism

Abstract

fetched live from OpenAlex

The research for this article was prompted by the question: were Yoga and Āyurveda as intimately connected in premodern times as they to seem today? It attempts to give a preliminary answer by assessing the influence of Āyurveda on a corpus of mediaeval Yoga texts, in terms of shared terminology, theory and praxis. The date of this corpus ranges from the eleventh to the nineteenth century CE, and all of its texts teach physical techniques and an ascetic state of dormant meditative absorption (samādhi), either as auxiliaries within a system of Yoga or as autonomous systems in themselves. The physical techniques became known as Haṭhayoga and the ascetic state of samādhi as Rājayoga, and the texts in which they appear posit the practice (abhyāsa) of Yoga as the chief means to liberation (mokṣa). The article begins with a discussion of the terminology in these texts that is also found in the Bṛhattrayī, that is, the Carakasaṃhitā, the Suśrutasaṃhitā and Vāgbhaṭa’s Aṣṭāṅgahṛdayasaṃhitā. It proceeds to discuss the relevant theory (digestive fire, humoral theory, vital points, herbs) and praxis (āsana, ṣaṭkarma and therapy or cikitsā) of the yoga texts in question in order to assess the possible influence of Āyurveda.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.225
Teacher spread0.160 · 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
GenreEmpirical

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

Citations21
Published2018
Admission routes1
Has abstractyes

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