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Record W4401770463 · doi:10.1177/00219347241275140

Dismantling Colonial Laughter: Tracing Emergent African Diaspora Stand-Up Comedy in French and German

2024· article· en· W4401770463 on OpenAlexaff
Izuu Nwankwọ

Bibliographic record

VenueJournal of Black Studies · 2024
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDiasporaColonialismJokeGermanGender studiesHistorySociologyAnthropologyLiteratureArt

Abstract

fetched live from OpenAlex

This study redirects attention from English-speaking African diaspora stand-up productions to French and German language expressions of purposively selected comedians with recent immigration history from Africa performing within mainland Europe. Through a socio-historical interrogation of specific colonial histories and joke themes, the paper comparatively explores the French language stage acts of Fary Lopez, Samia Orosemane (France) and Cécile Djunga (Belgium and France) and the German language works of Dave Davis (Germany), Charles Nguela (Switzerland), and Soso Mugiraneza (Austria). The aim is to show how the individuated colonial histories of the nations in which these comics reside and the chronicles of their relations with Africa(ns) and Black peoples feature in joke formulations and satiric jibes of the jokesters. Through these explorations, this essay studies how stand-up comedy’s transformative power challenges societal norms and attitudes using the backdrop of the concurrently heterogeneous and dissimilar colonial histories of the African continent and its diasporas. Moreover, through its focus on non-English expressions, it presents the unique intersections of language, “race,” ethnicity and colonial histories, as well as the geographic and linguistic spread of the African diaspora beyond European nations with direct colonial contact with the continent. Thus, the enquiry posits joke performances as platforms for cultural expression and critique as well as a site within which African peoples negotiate their presence in non-African environments.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.047
GPT teacher head0.396
Teacher spread0.349 · 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 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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