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Record W7117470392 · doi:10.1386/public_00273_1

The Possible Impossibilities of Home: Afrobeats and the Refusal of Unlivability

2025· article· en· W7117470392 on OpenAlexaff
Adesoji Babalola, Paul Akpomuje

Bibliographic record

VenuePublic · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsQueen's University
Fundersnot available
KeywordsColonialismDepictionFutures contractConsciousnessPerceptionAfrican culture

Abstract

fetched live from OpenAlex

Africa, from a colonial gaze, is often perceived as a dark continent and site of impossibilities, where humanities are configured as bare lives and disposable subjects (Agamben, 1998; Mbembe, 2019). Western media further reinforce this colonial perception with constant negative depiction of Africa as a site of war, hunger, terrorism, and other forms of violence, projecting the continent as unlivable and unworthy of being called home. In this paper, we explore Afrobeats as a sociopolitical site that negotiates the tensions between home and exile, belonging, and displacement. Situating Afrobeats within the broader discourse of migration, mobility, and African diasporic imaginaries, we examine how this music genre articulates a radical refusal of unlivability—rejecting the notion that transnational migration or return migration is impossible due to unlivable conditions often imposed on Africa by neoliberal structures and neocolonial logics. Through a lyrical analysis of songs of selected Afrobeats artists from Nigeria and drawing on Afrofuturism as a theoretical framework, we argue that Afrobeats does not merely document the complexities of African urban life but actively reconfigures notions of home as fluid, contested, and possible even within excruciating sociopolitical and economic conditions. As such, we conclude that Afrobeats depicts home as a site of insurgent joy, cultural vibrancy, world-making, and improvisations, thereby forging new futures of African-diasporic consciousness and belonging.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.862
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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