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Record W2208136673

From Accra to New York and Back Again: the Transnational Nature of Ghanaian Hiplife Music, 1982-2000

2013· article· en· W2208136673 on OpenAlexaff
Katie Young

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDemocratizationExpatriatePoliticsMusicalPopular musicGender studiesNegotiationGlobalizationJazzSociologyPeriod (music)HistoryPolitical scienceArtAestheticsSocial scienceVisual artsDemocracyLawArt history
DOInot available

Abstract

fetched live from OpenAlex

Hiplife, a Ghanaian popular music genre emerging in the 1980s, is often referred to as a blend of African American ‘hip’ hop and traditional high‘life’. This portmanteau suggests that hiplife was born out of increased globalization of American popular music in Ghana. However, defining hiplife as a genre has proven difficult due to its transnational origins. For many, hiplife originates with youth who fled Accra for New York City during political instability, lasting from Rawlings’ 1982 coup until democratization in 1992. Throughout this ten year exodus, Ghanaian musicians in New York engaged with African American ‘new school’ hip hop, negotiating their own understandings of rap and hip hop with African American counterparts. Diasporic musicians, however, were not the only youth to lay claim to hiplife as a genre; those who remained in Ghana during this period developed alternative musical and performance practices based on shared experiences of political instability, censorship and curfews. Thus, the return home of expatriate youth was a site of negotiation between local and diasporic musicians who debated hiplife’s style, aesthetic, language, and subject matter. This presentation will explore the ongoing transnational dialogues and cross-cultural negotiations concerning hiplife’s controversial definition for Ghanaian youth.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.195
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 designNot applicable
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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