The Art of Not Being Sexed Quite So Much: A Feminist Reading of Roland Barthes
Bibliographic record
Abstract
This article offers an underexplored resistance strategy to gender norms, based on a feminist and queer reading of the work of French thinker Roland Barthes. Building on Barthes’s peculiar conception of what he calls “the Neutral” and revisiting his work in light of feminist and queer scholarship on sexual (in)difference, my main goal is to reshape our understanding of what it means to be gender neutral. In opposition to classical conceptions of neutrality associated with passivity, indifference, and blandness, I show that Barthes’s Neutral can be conceived as an active gesture, which alters common systems of meanings and power, including the gender binary. But this conception of the Neutral, I argue, neither refers to a call for an androgynous, queer, or nonbinary gender experience. It does not target gender embodiments but gender regulations—that is, the social enforcement of gender categories (by way, for instance, of administrative forms, single-sex bathrooms, or normalizing attitudes toward others). A gender-neutral arrangement, therefore, refers to an ethical, administrative, social, or spatial relation in which subjects are not assigned based on gender categories. This practice of gender suspension, I show, has two main transformative effects. First, it opens a space of freedom and livability for gender-nonconforming subjects. Second, it contributes to lessening the significance of sexual difference in social life and therefore alleviating its symbolic and normative weight for everyone.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".