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Record W4404507967 · doi:10.1177/20592043241292975

<i>Kutanga</i>, <i>Mujimbu</i>, and the Tacit Orchestration of Events Among the Luvale of Zambia

2024· article· en· W4404507967 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMusic & Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of British ColumbiaAmerican Philosophical Society
KeywordsOrchestrationTacit knowledgeSociologyEpistemologyPhilosophyArtVisual arts

Abstract

fetched live from OpenAlex

Orchestration is an established topic in various music disciplines yet is a rare focus in ethnomusicology. This paper offers a modest remedy by asserting that culturally expected timbral interactions are orchestration. McAdams et al. (2022) define orchestration as the selective combination and juxtaposition of instruments to achieve sonic goals. With this case study, I reorient orchestration towards cultural goals. I also assert that any sonic event can be orchestrated (not just music). Furthermore, I argue that any event participant can be an agent of orchestration. Among Luvale (and related) communities in Zambia, there exist similar traditions of recounting one's recent journey through an oral briefing: kutanga and mujimbu. Although related, these events have different social functions, participants, and orchestrations. Kutanga is a dance prelude for a specific group of makishi (manifest ancestral spirits) or boy initiates and involves the alternation between vocalizer and drum. Mujimbu, featuring loosely coordinated clapping and alternating speakers, is enacted when a different set of makishi or men arrive somewhere. Both events involve expectations of vocal, clap, and drum timbres participants should employ. Whether these timbral decisions are deliberate or tacit (Arom 1981; Brinner 1995; Polanyi 1966), I interpret them as results of encultured behavior (Eidsheim 2019). In this paper I contend that orchestration is culturally informed, helps define and differentiate events, and links makishi to their living counterparts. To accomplish this, I delineate events in terms of orchestration, performers, and social function (Arom et al., 2019; Fürniss 2006, Nzewi 2008), analyze interviews, and culturally contextualize timbre. Although Kubik has conducted extensive research on kutanga (1971, 1974, 1977, 1994, 2008, 2010), his findings do not address orchestration or its ability to connect the ancestral to the living. An ethnomusicological approach to these events offers timbre studies a window into the cultural components and ramifications of orchestration.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
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 head0.027
GPT teacher head0.299
Teacher spread0.272 · 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