Bibliographic record
Abstract
activist.Her multifaceted identity has refined her grasp on fascism and profoundly informed her feminist antifascist project.Her book, Feminist Antifascism: Counterpublics of the Common (London: Verso, 2021), draws upon a rich tapestry of activist anecdotes, critical moments in the Polish feminist movement, and broader political contexts, interwoven with her lived experiences as both an academic and activist.The concrete examples and case studies she presents are seamlessly integrated with her rigorous theoretical framework, which is deeply rooted in Marxist political philosophy.The subtitle of the book, "Counterpublics of the Common," captures one of the theoretical initiatives Majewska proposes: a synthesis of Nancy Fraser's concept of counterpublics with the common, as suggested by Antonio Negri and Michael Hardt.Majewska innovatively reinterprets both theories, appropriating them to address feminist issues in relation to fascist politics.She introduces a feminist perspective to Negri and Hardt's ideas of multitude and the common while infusing Fraser's counterpublics with a universal leftist political ethos.Another synthetic intervention in her work is the concept of weak resistance, which draws inspiration from Walter Benjamin's weak messianism.Majewska's methodology, the historical archiveology of the oppressed and her non-elitist and egalitarian political philosophy, explain her broader interpretation of Benjamin's term as presented in "Theses on the Philosophy of History."In this interview with Ewa Majewska, we discuss her book, Feminist Antifascism, the on-going violence in Palestine, and the lessons contemporary Marxism can take from feminism.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.041 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".