Bibliographic record
Abstract
Abstract Contemporary feminism has reached a difficult crossroads, both in its theory and practical application. Feminist commitment to diversity and inclusion has opened space for women not traditionally considered in feminism’s domain and prompted new understandings of the forms of power against which women struggle. However, the very inclusivity of contemporary feminism now raises a series of unresolved issues. What does it mean to be a feminist today? What are the criteria for integration within a feminist agenda? And who determines the boundaries of inclusion and exclusion? This article uses the case of Jihadi brides, women who travel to join the Islamic State in Syria and Iraq, to test the limits of feminist boundaries. That these women have embarked on a radical political campaign against the West prompts further revisioning of the relationship between women, gender, and feminism. In place of a unified feminist politics, women are involved today on both sides of the global conflict between Western industrialized democracy (and its allies) and violent jihadism. In this context, should feminism include all women, even those who fight against Western values and thus the rights of other women? Should feminism tolerate the intolerant? Against the background of debates about intersectionality, identity politics, and post-structuralism, this article raises the specter of a feminism that is not only non-Western but, importantly, anti-Western and considers its implications for a feminist reconstructive agenda.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.039 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".