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Record W4398256259 · doi:10.1080/02723638.2024.2336849

Empowered, almost: luxury consumption and the crooked urban life

2024· article· en· W4398256259 on OpenAlexafffund
Grace Adeniyi-Ogunyankin

Bibliographic record

VenueUrban Geography · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsConsumption (sociology)SociologyEconomic geographyAdvertisingAestheticsEconomic growthBusinessGeographyEconomicsSocial scienceArt

Abstract

fetched live from OpenAlex

“What’s hair got do with it?” is the question at the heart of this paper that is based on fieldwork in Lagos and Ibadan, Nigeria (June 2022–September 2022; April–June 2023). These two cities are undergoing urban change, particularly in terms of renewal, beautification, and more regional and foreign investments. I engage with ethnographic fiction and ethnographic reflection to explore youth's desire to consume luxury as a pathway to empowerment via upward social mobility so that they can partake in the “good” parts of urban change while trying to circumvent increasing uncertainty and high levels of unemployment in the city. Through this engagement, I consider how beauty is deeply spatial by highlighting the relationship between hair, aspirational identity, imagined future selves and youth (im)mobility in two short stories, Miracle and Lagos Big Babe. Informed by Faria and Fluri’s (2022, Allure and the spatialities of nationalism, war and development: Towards a geography of beauty. Geography Compass, 16(9), e12652. https://doi.org/10.1111/gec3.12652) work on the geography of beauty, I emphasize that beauty has a material and affective quality that is corporeal and grounded in place. I tie the two stories together in my reflection on the role hair can play in building social capital and increasing social mobility while arguing that these aspirational identities are being fashioned in structurally skewed discursive neoliberal urban spaces.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.450

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 studies0.0010.001
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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

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