Re-Inscribing Religion as Nation: Naveenar-Caivar (Modern Saivites) and the Dravidian Movement
Bibliographic record
Abstract
Abstract The powerful shadow cast by the Dravidian movement on its very scholarship has meant that the focus of scholarly attention has been on the recent, institutional and secular history of the movement, with scant attention paid to its earlier religious roots. While the important role played by the pioneer Neo-Saivite elites has been noted, there have been few attempts to understand or theorise either the significance of this Neo-Saivite factor or the strategies and methods through which the Neo-Saivite revivalists fashioned and articulated a form of non-Brahmin Tamil nationalism. This paper seeks to address this lacuna by examining the largely untapped accounts of the Neo-Saivite movement written by orthodox Saivite contemporaries, who were highly critical of the movement and sought to expose both its deviation from ‘true’ Saivism and its political agenda. It is these criticisms of the Neo-Saivites that best illuminate how Saivism was deployed for a Dravidian and non-Brahmin Tamil nationalist project...
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".