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Record W4415573686 · doi:10.5040/9798216430926

Sacred Sound and the Transcultural Practice of Kirtan

2024· book· W4415573686 on OpenAlexaboutno aff
Gustavo Moura

Bibliographic record

VenueRowman & Littlefield Publishers eBooks · 2024
Typebook
Language
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)HinduismEthnographySingingSocial practiceCultural practice

Abstract

fetched live from OpenAlex

Ancient ideas on sacred sound find a very tangible and lively expression in the practice of kirtan, which is a broad term referring to various forms of devotional singing commonly done in South Asian traditions. Kirtan is a core practice in the Hindu and Sikh faiths that is becoming increasingly popular around the world among people of all ethnicities, thus developing as a transnational and transcultural phenomenon. Indeed, the broader cultural implications and deepening social penetration that this practice has achieved over the past five decades suggest that it is attaining permanent status in the world’s religious soundscape.Sacred Sound and the Transcultural Practice of Kirtanexplores the practice of kirtan as it has been re-created in the United States, Canada, and Brazil through multi-sided interactions that generate new cultural patterns in an ongoing process of cross-pollination. Approaching kirtan as a type of ‘technology of the self’, Gustavo Moura combines textual, historical, and ethnographic sources to address the questions of how this practice is adopted and adapted in the Americas and how it has been shaping identities, communities, and traditions.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.016
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations0
Published2024
Admission routes1
Has abstractyes

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