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Record W4406621088 · doi:10.1017/s026114302400028x

The National Symphony Orchestra of Ghana plays Ghanaian Classics: negotiating multiple identities through highlife music

2024· article· en· W4406621088 on OpenAlexaff
Moses Nii-Dortey, Laryea Akwetteh

Bibliographic record

VenuePopular Music · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSymphonyNegotiationHistoryArtVisual artsLiteratureArt historySociologySocial science

Abstract

fetched live from OpenAlex

Abstract Fifty-six years after its establishment, the Ghana National Symphony Orchestra in 2015 recorded its debut album Ghanaian Classics at the Institute of African Studies, University of Ghana, Legon. Despite the overwhelming challenge of low patronage of art music in Africa generally, the choice of repertoire and composers for this historic album was largely drawn from the Ghanaian popular music domain. This paper investigates the extent to which the album recording and launch represented a deliberate attempt by the orchestra to negotiate its multiple identities through Ghanaian highlife music and musicians. We argue that the album recording, the choice of the highlife genre and artists featured on the CD, the instrumentation and the venues for the recording and launch were all a deliberate attempt to de-escalate the elitist label the Ghana National Symphony Orchestra has carried right from its inception and to court a larger following from the Ghanaian populace as a national cultural asset.

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)0.003
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 score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.065
GPT teacher head0.245
Teacher spread0.180 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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