‘Justin Bieber Sounds Girlie’: Young People's Celebrity Talk and Contemporary Masculinities
Bibliographic record
Abstract
In this article, we explore the ways that contemporary young masculinities are performed and regulated through young people's relationship with celebrity. We address the relative paucity of work on young men's engagements with popular culture. Drawing on qualitative data from group interviews with 148 young people (aged 14-17) in England, we identify ‘celebrity talk’ as a site in which gender identities are governed, negotiated and resisted. Specifically we argue that celebrity as a space of imagination can bring to the study of masculinities a focus on their affective and collective mobilisation. Unpicking young men's and women's talk about Canadian pop star Justin Bieber and British boyband One Direction, we show how disgust and humour operate as discursive-affective practices which open up and close down certain meanings and identities. We conclude that while there have been shifts in the ways that masculinities are performed and regulated, hierarchies of masculinities anchored through hegemonic masculinity remain significant.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".