#Girlhood: Why Memetic Aesthetics of Hyperfemininity Matter for Feminist Media Studies
Bibliographic record
Abstract
Abstract There is a pressing need to focus attention on hyperfemininity as a valid and valued form of gender expression and feminist protest within contemporary social media. As resistance against the heteropatriarchal gender expectations that influence femininity and that produce femmephobia, we focus our analysis on the social media #girlhood meme trend that, we suggest, embraces a wide range of femme practices through the re-mixing of fem(me)ininity and femme-ness, while critiquing heteropatriarchal norms. We trace the circulation of #girlhood, including coquette aesthetics, #barbiecore, and #bimbofeminism, outlining how these playful expressions of femininity contribute to subverting expectations of “successful” femme bodies. We argue that if gender norms are scripts that prescribe and describe how we must act, then widening the range of acceptable feminine behaviour through hyperfemininity, as manifest in #girlhood memes, is crucial for changing how we discipline femme bodies and how we analyze femininity within media studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".