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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".