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Record W2912442583 · doi:10.1093/jaarel/lfy027

Embodying Texts and Tradition: Ethnographic Film in a South Indian Advaita Vedānta<i>Gurukulam</i>

2019· article· en· W2912442583 on OpenAlexaff
Neil Dalal

Bibliographic record

VenueJournal of the American Academy of Religion · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPraxisEthnographyPhenomenology (philosophy)TamilEmbodied cognitionSociologyAestheticsExperiential learningContext (archaeology)AnthropologyEpistemologyLiteraturePhilosophyHistoryArtPedagogyArchaeology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.311
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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