“This Is What a Feminist Looks Like”: Dead Girls and Murderous Boys on Season 1 of Netflix’s <i>You</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The taking up of feminist discourses and practices by a violent misogynist on Netflix’s You is an important departure from mainstream televisual engagements with gendered violence. Drawing on Jackson and Mazzei’s methodological work, we examine “threshold texts” as those that radically destabilize incommensurable political stances such as feminism/misogyny and queer alliance/homophobia. What are the implications of this destabilization for social justice projects? First, we argue that Joe’s voice-over re-centers white, heteronormative masculinity. Second, we examine the implicit homophobia underlying the show’s depiction of female friendships as queer danger. Third, we argue the representations of masculinity offer a hopeless landscape for heteronormative female viewers. We conclude by looking at the paratextual context, specifically actor Penn Badgley’s own ambivalent location as a queer, feminist man playing a character that represents heteronormativity’s deadliest outcome.
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.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it