Cartesian prejudice: Gender, education and authority in Poulain de la Barre
Bibliographic record
Abstract
Abstract The 17th century author François Poulain de la Barre was both an important contributor to the history of feminist thought and a thoroughgoing Cartesian. Poulain borrows from many of Descartes's doctrines, including his dualism, distrust of epistemic authority, accounts of imagination, and passion, and at least some aspects of his doxastic voluntarism; here, I examine how he uses a Cartesian notion of prejudice for an anti‐essentializing philosophy of women's education and the formation of the tastes, talents, and interests of individuals. “Prejudice” remains Descartes's notion of an entrenched, yet self‐imposed doxastic commitment, but also takes on the sense of social‐political group bias, founded on custom, transmitted through education, serving interests, and forming social expectations. Poulain also expands on the Cartesian notion and themes by emphasizing widespread yet unjustified social opinions in favor of the status quo in both epistemic practices and epistemic authorities, while considering how biased beliefs about sexual difference and gender identity can be internalized even by those who suffer most from them. At the same time, he shows how powerful Cartesian concepts can be for feminist methodology.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.035 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".