Bibliographic record
Abstract
Intersectionality has been adopted as the preferred term to refer to and to analyze multiple axes of oppression in feminist theory. However, less research examines if this term, and the political analyses it carries, has been adopted by women’s rights organizations in various contexts and to what effect. Drawing on interviews with activists working in a variety of women’s rights organizations in France and Canada, I show that intersectionality is only one of the repertoires that a women’s rights organization might use to analyze the social experience and the political interests of women situated at the intersection of several axes of domination. I propose a typology of four repertoires that activists use to reflect on intersectionality and inclusiveness. Drawing on a quantitative and qualitative analysis of the interview data, I show that hegemonic repertoires about racial or religious identity in one national context shape the way activists and organizations understand intersectionality and its challenges. The identity of organizations, as well as their main function (advocacy or providing service), also shape their understanding of intersectional issues.
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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 | 0.042 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.021 | 0.067 |
| Scholarly communication | 0.018 | 0.039 |
| Open science | 0.004 | 0.040 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".