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Record W4387222063 · doi:10.29173/comp68

The Aesthetic Asceticism of the Mad

2023· article· en· W4387222063 on OpenAlexaffvenue
Nazia B. Mahmud

Bibliographic record

VenueCOMPASS · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAsceticismAestheticsTranceBengaliAppropriationSpiritualityPoetryPopular musicMysticismLiteratureSociologyArtReligious studiesPhilosophyAnthropologyTheology

Abstract

fetched live from OpenAlex

The Bauls of Bangladesh, West Bengal, and other parts of India are a distinct ascetic sect that practices spirituality through songs, music, and poetry that were passed down orally from a teacher (Guru) to a disciple (Shirsha). Their ideology is a mix of yogic-tantric practices of Buddhist Sahajiya, Vaishnavism Sahajiya, and later Sufi thoughts. Bauls are often called a heretic sect because of their rejection of institutionalized religion, consumerism, society, and, for many Bauls, even marriage. Baul songs and spirituality emphasize the search for the connection between man and the Divine and love and symbolize the Bengali folk identity. In this paper, placing Baulism within the Anthropology of Art vs. Aesthetics discourse, I show how Baul songs, and their lifestyle can be both. I discuss the rising appropriation of Baul folk music and aesthetics by modern media and in capitalist spaces and how it started to gain traction when the elite society started to acknowledge Bengali folk music. Baul giti (song) is an established genre of music, and they tend to mediate between both art while providing aesthetic appreciation. With the rise of village core aesthetics and romanticization, their music, style, and philosophy have found new spaces in media, fashion, and business.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.216
Teacher spread0.191 · 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 designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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