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Record W4286558777 · doi:10.4000/ebhr.240

Abodes of the vajra‑yoginīs: Mount Maṇicūḍa and Paśupatikṣetra as envisaged in the Tridalakamala and Maṇiśailamahāvadāna

2020· article· en· W4286558777 on OpenAlexaff
Amber Moore

Bibliographic record

VenueEuropean Bulletin of Himalayan Research · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsBuddhismMountSanskritHermeneuticsNarrativeLiteratureMysticismHinduismPhilosophyHistoryArtTheologyComputer science

Abstract

fetched live from OpenAlex

This study examines how the logic of localisation functions in Buddhist tantric literature and ritual as a powerful tool to convey knowledge and authoritative lineage via the immediacy of the manifest world. Literature composed in Newar (Nepāl Bhāṣā) and Sanskrit continues to link the pantheon of Buddhist tantric deities to religious figures and multivalent sites in the Kathmandu Valley. Narratives of exploits (avadānas) and songs describe how heroes (vīras), heroines (vīreśvarīs) and magical female beings (yoginīs) reside and are encountered as site‑specific maṇḍalas of Buddhist tantric systems. This article examines two such sites in light of their related corpus of local literature: a unique solitary form of Vajrayoginī – Śrī Ugratārā Vajrayoginī – who is worshipped at Mount Maṇicūḍa near Sankhu, and Nairātmyā – the semi-wrathful consort of Hevajra – who is worshipped in Paśupatikṣetra, Deopatan. In this article, I look at local accounts, excerpts from the Maṇiśailamahāvadāna composed in Nepāl Bhāṣā, and offer an edition of the Sanskrit Tridalakamala practice song (caryāgīti). I utilise these sources to investigate how the sacred landscapes of the Buddhist vajra‑yoginīs in Nepal remain integral to the hermeneutics of reception of 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.276
Teacher spread0.173 · 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 teacher head, not a consensus.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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