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Record W4285346392 · doi:10.1017/9781800102095.013

Dressing en Style: Fashion and Fandom in Niger

2021· other· en· W4285346392 on OpenAlexaboutno aff
Adeline Masquelier

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)FandomArtVisual artsLiterature

Abstract

fetched live from OpenAlex

In the eyes of countless Nigerien male youth, no one currently epitomizes style as successfully as Wizkid, the young Nigerian pop sensation who was catapulted to global stardom in 2016 after the chart success of “One Dance,” the song he produced with Canadian rap artist Drake. That same year, Wizkid, whose real name is Ayodeji Ibrahim Balogun, was named Nigeria's best-dressed pop star by Vogue magazine (Frank 2016). On the African continent, where he has practically become a household name, he is extolled as much for his trendsetting looks as for his crowd-pleasing sound. He is undoubtedly the most famous ambassador of the Nigerian musical movement known as Afrobeats. Afrobeats (to be distinguished from the jazzy Afrobeat sound pioneered by Nigerian artist Fela Kuti in the 1970s) combines Congolese soukous, Ghanaian highlife, Ivoirian dance music, and Jamaican dancehall. In Niger, Wizkid's adoring fans scrutinize his fashion choices but also emulate them—no matter the cost. Many of them have incorporated in their wardrobe the skinny jeans, colorful T-shirts, bomber jackets, and trucker hats favored by their idol; they also copy his hairdos and his way of talking; some of them go as far as taking the alias, Wizkid. In recent years the Afropop wunderkind has expanded his sartorial repertoire to include styles ranging from high-end fashion brands to athleisure to traditional Nigerian clothes. Whether he appears in casual streetwear or formal made-to-order clothes, he ends up setting new trends—the red beret “look,” the colorful high tops paired with an all-black outfit, and so on—which his devotees quickly embrace. In sum, the Lagos-born artist always seems to be on the cusp of reinvention. One might even argue that his reputation as a fashion guru rests largely on his ability to smoothly navigate a wide, everevolving range of sartorial styles so as to keep his followers engaged and wondering about his next move. Though Wizkid is not associated with a distinctive look or style, many of the clothes he wears are rapidly adopted by fans aiming to develop a sartorial personality that identifies them as followers of the star. In 2016 a style known as Wizkid became popular among adolescent boys after images of the Nigerian star, wearing cut-and-paste logo tees from the luxury streetwear brand Hood By Air (or HBA), circulated online.

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.026
GPT teacher head0.241
Teacher spread0.215 · 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
GenreOther

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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