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Record W2333065736 · doi:10.1386/pi.1.2.247_1

Baraka, performative healing and the Moroccan Sufi chant

2013· article· en· W2333065736 on OpenAlexaff
Earle H. Waugh

Bibliographic record

VenuePerforming Islam · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHispanic-African Historical Relations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMysticismPerformative utteranceIdeologySufismTheme (computing)AestheticsMeaning (existential)IslamTranceKey (lock)MusicalEpistemologyPhilosophyLiteratureSociologyPoliticsArtTheologyLawPolitical science

Abstract

fetched live from OpenAlex

A prominent theme in studies of Islamic religio-philosophical systems has been the supposed uptake of key Greek traditions on health and the body. Even those concerned with mysticism have reflected certain ideological interests: most studies of Sufi tradition focus upon either the distinctive mystical doctrines of the group or the trance produced in their rites or the interaction of text and musical formations. This article approaches the tradition from a different perspective. It focuses its attention on key elements in Sufism, but not on either the ideological or textual dimensions. It looks to the performative aspects of dhikr and the chanters who are integrated into it, and especially to note the way in which baraka provides an underlying rationale for health/well-being for all participants (including onlookers). Further, since the dhikr goals are clearly central for all Sufis (i.e. spiritual encounters), the role of the body, body postures and ritual movements all argue for approaching and critically analysing both them and baraka for their larger delivery of meaning. All this suggests a much different mind–body relationship than encountered in the Greek tradition. Examples will be drawn from fieldwork among Morocco’s Sufi chanters.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

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 studies0.0120.015
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.182
Teacher spread0.170 · 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
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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