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Record W3195723087 · doi:10.1177/00393207211033993

Musicking as Liturgical Speech Acts: An Examination of Contemporary Worship Music Practices

2021· article· en· W3195723087 on OpenAlexaff
Laura J. Benjamins

Bibliographic record

VenueStudia Liturgica · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicPentecostalism and Christianity Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsWorshipContext (archaeology)AestheticsCwmPraiseLyricsMusicalPsychologyLinguisticsSociologyVisual artsArtLiteratureSocial psychologyPhilosophyHistoryComputer scienceTheology

Abstract

fetched live from OpenAlex

This article examines the genre of Contemporary Worship Music (CWM) within worship contexts in terms of its formative and purposeful nature. In CWM settings, the worship leader plays a particular role in the selection and facilitation of CWM repertoire to be led by praise bands. Through the leader's consideration of the message of the CWM lyrics, and the relational nature of CWM practices, a worship leader's pedagogical decisions are integral to contributing to a space of dialogue for worship musicians. Drawing on previous literature addressing liturgical language in worship, I analyze the CWM context as a particular case where liturgical language shapes musicians’ spiritual formation. This examination of CWM practices includes an analysis of musicians’ engagement in relational musicking and meeting through I-Thou encounters. I therefore explore both the need for worship leaders to consider the multitudinous theological implications of their actions, as well as the way musicians are shaped and formed intimately through their musical engagement with CWM.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.010
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.125
GPT teacher head0.304
Teacher spread0.179 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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