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Record W2322499771 · doi:10.1386/pi.2.2.127_1

The drums of Islam, a shrine and a story set in Pakistan

2013· article· en· W2322499771 on OpenAlexfundno aff
Richard K. Wolf

Bibliographic record

VenuePerforming Islam · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignMcGill University
KeywordsIslamPerformative utteranceDancePeriod (music)SufismSingingHistoryLiteratureVisual artsAestheticsSociologyArt

Abstract

fetched live from OpenAlex

Abstract Many kinds of act we recognize as performative and help constitute religious experiences all over the world. This article focuses on the experiences of drummers, dancers and other participants at a Sufi shrine in Lahore, Pakistan. The readers of this journal are likely to have encountered historical debates concerning the appropriateness of music in Islam, as well as discussions regarding what qualifies as recitation, as music, or as noise. Understanding these debates and semantic concerns is an essential part of gaining insight into important aspects of Sufi Islamic religious experiences. In this article I invite the reader to contemplate performance not only in reference to music and dance themselves but also with respect to the creative non-fictional form in which I present them ethnographically. This article is adapted from my forthcoming book, The Voice in the Drum: Music, language, and emotion in Islamicate South Asia (2014), a hybrid piece of creative and analytic writing in the form of a novel. It is based on my fieldwork in India and Pakistan over a 28-month period in late 1996 and on shorter visits extending into the mid- and late 2000s.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.012
GPT teacher head0.301
Teacher spread0.289 · 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 designQualitative
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

Citations0
Published2013
Admission routes1
Has abstractyes

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