Bibliographic record
Abstract
Extract Welfare Attitudes in East Asia The Case of Beijing and Singapore By Trude Sundberg Editorial advisory board Ana Marta Guillen Rodriguez, University of Oviedo, Spain Bingqin Li, University of New South Wales, UK Gaby Ramia, University of Sydney, Australia Ilcheong Yi, United Nations Research Institute for Social Development, Switzerland Jolanta Aidukaite, Institute of Sociology, Lithuanian Centre for Social Sciences Keerty Nakray, O.P. Jindal University, India Marianne Ulriksen, United Nations Research Institute for Social Development, Switzerland Markus Ketola, University of Edinburgh, UK Rianne Mahon, Wilfrid Laurier University, Canada Ricardo Velazquez-Leyer, University of Bath, UK Sophia Lee, Chung-Ang University, South Korea Trudie Knijn, Utrecht University, Netherlands Young Jun Choi, Yonsei University, South Korea Find out more policy.bristoluniversitypress.co.uk/ research-in-comparative-and-global-social-policy
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".