MétaCan
Menu
Back to cohort
Record W4386753247 · doi:10.1163/18757421-bja00007

The Indigenous Origin of Intermediality in Nigerian Stand-up Comedy

2023· article· en· W4386753247 on OpenAlexaff
Izuu Nwankwọ, Samuel Okoronkwo Chukwu-Okoronkwo

Bibliographic record

VenueMatatu · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConflationIndigenousComedyDanceEntertainmentTRACE (psycholinguistics)JokeColonialismVisual artsAestheticsHistorySociologyArtLiteratureLinguisticsArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Intermediality, a conflation of different artistic media into one event, is typically considered to have developed in the West. In this paper, we argue that intermediality existed in pre-colonial performance traditions across Africa, where various modes of artistic enactments merged into one were preferred to enactments partitioned into different generic categories. This study identifies multiple artistic genres inherent in Nigerian stand-up art, with specific reference to various sets of Ayo Makun’s AY Live wherein we identify the blending of joke-telling, theatre, cinema, song performance and dance within each show. We trace indigenous origins of this conflation of forms by illustrating how delineations between “types” of play, as seen in AY Live, did not exist in indigenous performances. This paper thus, extends research on intermediality and African popular culture by detailing the ways in which Nigerian stand-up enactments are packaged as total entertainment in the manner of pre-existing indigenous performances.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0050.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.278
Teacher spread0.227 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMatatuSame topicShakespeare, Adaptation, and Literary CriticismFrench-language works237,207