Kirtan in the Americas: Music and Spirituality in a Transcultural Whirlpool
Bibliographic record
Abstract
Kirtan (Sanskrit: कीर्तन; IAST: Kīrtana) is a broad term referring to various forms of devotional singing commonly done in South Asian traditions. It is a core practice in the Hindu and Sikh faiths that is becoming increasingly popular around the world among people of all ethnicities. Beyond its expected propagation within Hindu and Sikh diasporas, kirtan is also spreading among members of new religious movements such as ISKCON and the 3HO/Sikh Dharma, who may engage in this practice as part of their daily cultivation. Even more broadly, a form of what has been called “neokirtan” has been gaining popularity in the yoga and New Age communities, with several kirtan artists nominated for the Grammy awards over the years. Moreover, in the wake of the mindfulness and yoga movements, there is an emerging engagement of kirtan singers with public healthcare and correctional institutions. Thus, we can say that kirtan is 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. This research explores 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’, this research 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.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".