Sexual Justice / Cultural Justice : Critical Perspectives in Political Theory and Practice
Bibliographic record
Abstract
Part 1: Defining and Challenging 'Culture' and 'Cultural Identity' 1. What is 'Culture'? Anne Phillips 2. The Politics of Cultural Contestation Rita Dhamoon 3. Cultural Protections vs. Cultural Justice: Post-Colonializm, Agonistic Justice and the Limitations of Liberal Theory Barbara Arneil 4. Traveling Culture and the 'Cultural Defense' Gaurav Desai Part 2: Autonomy, Culture and Gender 5. Women's Rights, Oppressed Minorities, and the Liberal State Marilyn Friedman 6. Relational Autonomy, Sexual Justice and Cultural Pluralism Catriona Mackenzie 7. Is Freedom of the Will but a Western Illusion? Individual Autonomy, Gender and Multicultural Judgement Sawitri Saharso 8. Personal Autonomy and Cultural Tradition: The Arranged Marriage Debate in Britain Monique Deveaux Part 3: Gender, Culture and Democracy 9. Globalizing Women's Rights: Overcoming the Apartheid Maria Pia Lara 10. Reconciling Multiculturalizm with Democracy: Challenges for South Africa Gertrude Fester 11. Religious Arbitration and Multiculturalizm: The Debate over Sharia Law in Canada Avigail Eisenberg
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.015 | 0.096 |
| Scholarly communication | 0.019 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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".