Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".