Feminist Curiosity about International Constitutional Law and Global Constitutionalism
Bibliographic record
Abstract
Cynthia Enloe’s theory of feminist curiosity inspired us to ask whether feminist International Constitutional Law (ICL) scholars and their Global Constitutionalism (GC) counterparts apply the same concept of gender to the internationalization/globalization of constitutional norms. We analyzed ICL scholarship on substantive rights to security and equality (Hilary Charlesworth and Christine Chinkin), freedom from violence (Catharine A. MacKinnon), and parity (Ruth Rubio-Marín) and GC scholarship on processes of contestation (Antje Wiener), proportionality (Anne Peters), and democratic iterations (Seyla Benhabib). Our findings, in the form of a hypothesis, are that gender specificity infuses the former and gender inclusivity, the latter. In other words, these scholars take competing approaches to protecting (ICL) and empowering (GC) women. This hypothesis sets the stage for the conversations we imagine these feminist scholars might have: Charlesworth and Chinkin with Wiener about the rule of law; MacKinnon and Peters about the separation of powers; and Rubio-Marín and Benhabib about democracy. Their collective insights could yield constructive connections that advance women’s protection and empowerment domestically, internationally, and globally.
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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 | 0.012 | 0.008 |
| 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 | 0.066 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".