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The Musical Expression of Identity in Maale Patrilineal Society (Southern Ethiopia)

2015· article· en· W2131875556 on OpenAlexaff
Hugo Ferran

Bibliographic record

VenueNortheast African Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDanceKinshipMusicalIdentity (music)HierarchySociologyContext (archaeology)LyricsGenealogyAestheticsHistoryAnthropologyLiteratureArtPolitical science

Abstract

fetched live from OpenAlex

Abstract Located in Southern Ethiopia, the Maale traditionalists act for the preservation of a particular form of ancestor worship. Their society, highly hierarchized, is based on a complex patrilineal organization. Several researchers have shed light on the numerous markers used by the Maale traditionalists to express their position in the social hierarchy. This article aims at highlighting the various ways in which Maale music participates in this system of differentiation. In a continuation of previous studies, this article argues that gender, kinship, descent, and fertility are key concepts in understanding the Maale conception of hierarchy. Within this framework, Maale music appears as an offering that the musicians address to their ancestors and lineage elders. Culturally, each offering is supposed to convey four types of information, which are the musical context, the circumstance, and the social position of the musicians and of their social elders. The ethnomusicological analysis reveals the ways in which the lyrics, dance, instruments, and musical parameters convey all these pieces of information.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.342
Teacher spread0.281 · 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
Published2015
Admission routes1
Has abstractyes

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