Embodying Texts and Tradition: Ethnographic Film in a South Indian Advaita Vedānta<i>Gurukulam</i>
Bibliographic record
Abstract
This article draws on theories of phenomenology, visual anthropology, and embodiment to explore Advaita Vedānta’s sensorial and embodied modes of praxis. It interweaves two threads based on a case study of the Arsha Vidya Gurukulam, an Advaita Vedānta institute in Tamil Nadu, India: (1) an ethnographic analysis of the intersections of textual study, religious praxis, and social-environmental context; and (2) the ways these intersections are grounded in Advaita Vedānta’s source texts. This article focuses on the unique potential of experiential sensory-ethnographic film for revealing these intersections and argues that such films are uniquely capable of providing viewers phenomenological and sensorial insights into individual subjectivities within religious praxis. It further probes how the Advaitin follows a roadmap of metaphysical models, ritual praxis, and receiving a teacher’s textual performance. This process reformulates bodies and identities towards the nondualistic through an interiorization of texts and is essential for remembering and transmitting the tradition.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".