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Skanda in Epic and Puranic Literature: An Examination of the Origins and Development of a Hindu Deity in North India

2007· article· en· W2125930790 on OpenAlexaff
Richard D. Mann

Bibliographic record

VenueReligion Compass · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsCultHinduismIndusScholarshipTantraPopularityAncient historyHistorySouth asiaEmblemReligious studiesTheologyPhilosophyLawArchaeologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This article explores the origins and development of the Hindu deity Skanda in North India from approximately the fourth century bce to the seventh century ce . The author suggests that previous scholarship on this deity has located his origins in two sources: the Indus Valley and in an amalgamation of related deities. The article questions the Indus Valley hypothesis and develops the amalgamation hypothesis by examining a variety of textual and non‐textual sources. The author also argues that a shift occurs in the representation of Skanda and in his cult base over time. The article suggests that his cult begins in propitiation cults for Grahas and warrior deities in the north of India and shifts to one based in royal propaganda and military emblems. The cult of Skanda is also absorbed into the broader Śaivite cult during this time. These shifts, the author argues, result in the diminished popularity of Skanda in North India by the seventh century ce .

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)0.001
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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0060.008
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.020
GPT teacher head0.229
Teacher spread0.209 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

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