Equality in Asia-Pacific : reality or a contradiction in terms?
Bibliographic record
Abstract
1. Equality in Asia-Pacific: Reality or a Contradiction in Terms? - An Introduction 2. What's in a Name? Bisexuality, Transnational Sexuality Studies and Western Colonial Legacies 3. Same-Sex Marriage/Constitutionalism and their Centrality to Equality Rights in Hong Kong: A Comparative-Socio-Legal Appraisal 4. Changing Times, Changing Minds, Changing Laws - Sexual Orientation and New Zealand Law, 1960 to 2005 5. The Same-Sex Marriage Debate in Australia 6. Non-Governmental Organising for Gender Equality in China - Joining a Global Emancipatory Epistemic Community 7. On China's Slow Boat to Women's Rights: Revisions to the Women's Protection Law, 2005 8. Inequality of Educational Opportunity in Korea by Gender, Socioeconomic Background, and Family Structure 9. Official Languages and Bilingualism in the Courtroom: Hong Kong, Canada, the Republic of Ireland, and International Law 10. Constitutionalising Affirmative Action in the Fiji Islands
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".