For What Can the Kantian Feminist Hope? Constructive Complicity in Appropriations of the Canon
Bibliographic record
Abstract
As feminist scholars, we hope that our own work is exempt from structural problems such as racism, sexism, and Eurocentricism, that is, the kind of problems that are exemplified and enacted by Kant’s works. In other words, we hope that we do not re-enact, implicitly or explicitly, Kant’s problematic claims, which range from the unnaturalness of a female philosopher, “who might as well have a beard,” the stupid things that a black carpenter said “because he was black from head to foot,” the poor women “living in the greatest slavery in the Orient,” to the “sheep-like existence of the inhabitants of Tahiti.” In this piece, I argue that we cannot simply hope to avoid these problems unless we are vigilant about incorporating the full picture of Kant’s and Kantian philosophy into our feminist appropriations. I will show that one way to minimize if not altogether avoid this risk is to follow the model of a new methodology that establishes the continued relevance of all of Kant’s claims for our present. Inspired by Spivak’s A Critique of Postcolonial Reason, I will call this alternative methodology the “constructive complicity” approach.
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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 | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.076 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".