Struttin' Through The Industry : A Cultural Perspective On Missy Elliott, Hip-Hop And Beauty Politics
Bibliographic record
Abstract
For three decades, hip-hop artist Missy Elliott has served as a household name to rap and hip-hop enthusiasts around the world. What is often overlooked when discussing Elliott however, is her contribution to the fashioning of the Black woman's body in both hip-hop culture, and the fashion industry of the past and present. Through the analysis of her impact on both the hip-hop music and fashion industries, I will explore how this has contributed to her success as not only a rapper, but as an icon. By way of exploring themes such as the racialization of weight gain for African American women, the fashioning of African Americans throughout historical periods like the Harlem Renaissance, and the beauty politics for women of colour, I aim to not only shape Missy Elliott‘s celebrity, but to analyze her politics of resistance. Keywords: African American, Beauty, Fashion, Gender, Hip-Hop, Race
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.023 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| 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".