How to Occult Misogyny and Antifeminism in the History of Political Ideas: The Case of Pierre-Joseph Proudhon
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
This article offers an analysis of Proudhon's sexist and anti-feminist remarks and of the different strategies developed by his interpreters to avoid taking them seriously, in an apparent concern to defend his image as a 'great thinker'. Considering Proudhon's comments about men and women, personal letters about his wife and daughters, as well as critical interpretations of feminists and anarchists of the time, it is possible to explain quite simply his seemingly contradictory positions for an anarchist: he was also a man – husband and father – who defended his power, his privileges, and his masculine interests. Such a conclusion might be relevant for contemporary anarchists, since today the anarchist networks are still struggling with sexism and even sexual violence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it