Bibliographic record
Abstract
This article redresses the neglect of interregimatic solidarity – solidarity between collective anti-oppression struggles in purportedly antithetical regimes – in transnational feminist scholarship. I argue that authoritarian and demostatist regimatic contexts of oppression give rise to regimatically distinct oppressive kinds, which track their regimatic subjects of oppression respectively, and that this fact significantly increases the risk of interregimatic missolidarization in lieu of interregimatic solidarity. In response, we need to cultivate antiauthoritarian resilience, which is both an epistemic and a moral virtue. Epistemically, it helps us to navigate a world characterized by the dynamics of authoritarian spillover, demostatist sellout, imperial standoff, and capitalist scaleup, to comprehend how regimatic oppressions are interconnected, and to appreciate the practical import of interregimatic solidarity. Morally, antiauthoritarian resilience helps us to discern and discard moral parochialism and cynical moralism, both of which impede the exercise of interregimatic solidarity. I conclude with tentative thoughts on when, for whom, and to what extent interregimatic solidarity is morally obligatory, if its realization depends on cultivating the virtue of antiauthoritarian resilience.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.038 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".