From Venus to “Black Venus”: Beyoncé’s I Have Three Hearts, Fashion, and the Limits of Visual Culture
Bibliographic record
Abstract
In 2016, Lemonade was lauded as “Black girl magic” for the ways the hour-long HBO special (and subsequent album) celebrated Black women and the Southern gothic tradition. It also was the first hint of Beyoncé paying homage to West African Yoruba traditions. At the 2017 Grammys, her performance was both an invocation of the sacred in Western art history and further homage to Yoruba. The performance opened with poetry by Warsan Shire, and snapshots of her daughter, Blue Ivy, but the highlight was Beyoncé’s gold gown, and crown, and gold accessories, all of which symbolized the African goddess Osun. Released just before her Grammys performance, the I Have Three Hearts photo-series circulated as pregnancy images (she was pregnant with twins), but it also functioned as a repository of Beyoncé’s invocation of the sacred in Western culture, as embodied in Venus, and the African goddess, often labelled as “Black Venus.” This article is an examination of three images in the I Have Three Hearts series, taken by Awol Erizku, and the series’ accompanying poetry by Shire. I argue that it raises important questions about the role of visual culture in fashion and popular culture. Is Beyoncé the Venus of the twenty-first century? Does this photographic series remap Western visual culture to reimagine Black womanhood in the discourse on sexuality? Or, it is an example of pastiche in postmodern culture wherein truncated information is authorized, making everyone an expert without the demand for historical context?
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".