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Record W3131139577 · doi:10.1558/rosa.19310

Kannimar Shrines and Iconography

2021· article· en· W3131139577 on OpenAlexaff
Brenda E. F. Beck

Bibliographic record

VenueReligions of South Asia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIconographyBridge (graph theory)SisterAncient historyHinduismHistoryGenealogyLiteratureEthnologyArtReligious studiesSociologyAnthropologyArt historyPhilosophy

Abstract

fetched live from OpenAlex

The Kannimar are seven look-alike goddesses affiliated with the Pleiades. In local Tamil folk temples of Tamilnadu’s Kongu area they are worshipped in one cluster, as sisters. They are mediators who occupy a middle ground, both spatially and ritually. The seven are served together, soon after the most prominent gods and goddesses, but ahead of other deities, mainly devotees and service-providers whose shrines are found in the same broad compound. The seven Kannimar provide a key bridge linking local to pan-Indian belief traditions. Their role resembles that of certain women in the human sphere, where it is common for a mother to mediate between father and son, or for a sister to bridge the awkward gap between her family of birth and that of her in-laws. The Kannimar also operate as handmaidens dedicated to the service of the great goddess K?l?. They are her loyal communicators and errand runners. These seven females are youthful charmers, but they are also fierce womb-guardians who have nurturing powers and awesome resurrection abilities. The relative placement of the Kannimar within the local folk universe, can offer us multiple insights into a wide range of human and divine relationships expressed through the Hindu pantheon.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.680
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.302
Teacher spread0.286 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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