Bibliographic record
Abstract
This paper reconsiders the contemporary moral reading of women’s oppression, and revises our understanding of the practical reasons for action a victim of mistreatment acquires through her unjust circumstances. The paper surveys various ways of theorising victims’ moral duties to resist their own oppression, and considers objections to prior academic work arguing for the existence of an imperfect Kantian duty of resistance to oppression grounded in self-respect. These objections suggest (1) that such a duty is victim blaming; (2) that it distorts the normative direction of self-regarding duties; and (3) that consequentialist reasons are inapt for justifying self-regarding ethical responsibilities. The paper then argues that the need for normative coherence in our very concept of a moral duty is of paramount importance, and especially so in the fight against patriarchal oppression. Accordingly, we should acknowledge the salient differences between pro tanto or defeasible moral reasons and fully fledged moral duties identifying agent-relative obligatory action. The paper concludes that we better respect and defend women’s rights when first we understand them as having, at best, defeasible moral reasons to oppose their oppression; and second, ensure that we make adequate allowance for a woman’s interpretative right to choose how to respond to her oppressive circumstances.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.102 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".