Dating and Placing Early Śaiva Texts through<i>prāsādalakṣaṇa</i>, the Characteristics of Temples
Bibliographic record
Abstract
In this essay I examine the accounts of temple design and construction given by a group of six early Śaiva texts. The six texts are: the Bṛhatkālottara Mahātantra; the Devyāmata, also titled the Niśvāse Mahātantre Pratiṣṭhātantra; the Kiraṇāgama; the Mohacūrottara Pratiṣṭhātantra; the Mayasaṃgraha, with its commentary, the Bhāvacūḍāmaṇi; and the Brahmayāmala Jayadrathādhikāra Piṅgalāmata. I will seek indications of date and place for the textual accounts by comparing them to extant architectural pieces. The essay will fall into 3 parts. First, what is known of the dating of the texts will be presented. Second, pertinent aspects of the character of the texts will be discussed, and elements of their building instructions will be introduced. Third, those elements of the building record will be used to date and place the texts.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".