L'affaire des foulards. Defining a feminist anti-racist strategy in French schools
Bibliographic record
Abstract
Contents: Making space for antiracist feminism in Northern Italy / Heather Merrill -- Resisting domestic violence and caste inequality: all-women courts in India / Veronica Magar -- Exotic dancing and union organizing: the challenges of feminist and antiracist organizing at the Lusty Lady Theater / Siobhan Brooks -- Women, healthcare, and social equality in Yemen / Delores Walters -- Danger talk: race and feminist empowerment in the new South Africa / Michelle Rosenthal -- From race cognizance to racism awareness: dilemmas in antiracist activism / Ellen Kaye Scott -- Between the covers: feminist, antiracist, and queer: performance art in Australia / Andrea Breen -- The politics of history and the issue of "comfort women": Japanese nationalism, gender, and education in the 1990s / Yoshiko Nozaki -- Coalition politics in organizing for Mumia Abu-Jamal / Sohera Syeda and Becky Thompson -- Extraordinary alliances in crisis situations: women against Hindu nationalism in India / Paola Bacchetta -- Working with feminists in Zimbabwe: a black American's experience of transnational alliances / Carolyn Martin Shaw -- Building connections between antiracism and feminism: antiracist women and profeminist men / Eileen O'Brien and Michael Armato -- "L'affaire des foulards'": problems of defining a feminist antiracist strategy in French schools / Jane Freedman -- Memorializing racist massacres: faith versus feminism in Florida / Cathleen Armstead -- Casting off servitude: assessing caste and gender inequality in India / Ashwini Deshpande -- Mapping the meanings of "racism" and "feminism" among women television broadcast journalists in Canada / Minelle Mahtani.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.011 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".