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Record W2167317166 · doi:10.1017/s0041977x06000103

A community of grace: the social and theological world of the <i>Puṣṭi Mārga vārtā</i> literature

2006· article· en· W2167317166 on OpenAlexaff
Shandip Saha

Bibliographic record

VenueBulletin of the School of Oriental and African Studies · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAllegianceExtant taxonHindiContext (archaeology)HinduismIdentity (music)Religious communityReligious studiesHistorySociologyTheologyPhilosophyLawPoliticsPolitical scienceAestheticsArchaeologyLinguistics

Abstract

fetched live from OpenAlex

In the history of Hindi literature, the oldest extant text of medieval Hindi prose is the collection of hagiography known as the as the vārtā literature which, since the seventeenth century, has been central to the religious life of the Hindu devotional community known as the Puṣṭi Mārga. This article argues that a close examination of these texts in their proper social and historical context reveals that the vārtā literature was written and revised during a time when the Puṣṭi Mārga was slowly expanding its sphere of religious influence in Western and Central India. The result was a body of literature whose principal purpose was to shape the religious self-identity of the Puṣṭi Mārga by stressing the community as a close-knit and exclusive fellowship of believers who owed their final allegiance to Kṛṣṇna and the community's religious leaders who were known as mahārājas.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0260.032
Scholarly communication0.0130.005
Open science0.0010.008
Research integrity0.0010.004
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 head0.028
GPT teacher head0.228
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 designQualitative
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

Citations7
Published2006
Admission routes1
Has abstractyes

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