Bibliographic record
Abstract
In the wake of continued structural asymmetries between women of color and white feminisms, this essay revisits intersectional tensions in Catharine MacKinnon’s Toward a Feminist Theory of the State while exploring productive spaces of coalition. To explore such spaces, we reframe Toward a Feminist Theory of the State in terms of its epistemological project and highlight possible synchronicities with liberational features in women-of-color feminisms. This is done, in part, through an analysis of the philosophical role “method” plays in MacKinnon’s argument, and by reframing her critique of juridical neutrality and objectivity as epistemic harms. In the second section, we sketch out a provisional coalitional theory of liberation that builds on MacKinnon’s feminist epistemological insights and aligns them with decolonizing projects in women-of-color feminisms, suggesting new directions and conceptual revisions that are on the way to coalition.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.060 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| 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".