Jacques Rancière and Care Ethics: Four Lessons in (Feminist) Emancipation
Bibliographic record
Abstract
This paper proposes a conversation between Jacques Rancière and feminist care ethicists. It argues that there are important resonances between these two bodies of scholarship, thanks to their similar indictments of Western hierarchies and binaries, their shared invitation to “blur boundaries” and embrace a politics of “impropriety”, and their views on the significance of storytelling/narratives and of the ordinary. Drawing largely on Disagreement, Proletarian Nights, and The Ignorant Schoolmaster: Five Lessons in Intellectual Emancipation, I also indicate that Rancière’s work offers crucial and timely insights for care ethicists on the importance of attending to desire and hope in research, the inevitability of conflict in social transformation, and the need to think together the transformation of care work/practices and of dominant social norms.
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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 | 0.027 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.092 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.010 | 0.015 |
| 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".