Chinese Social Policy in a Time of Transition. Edited by Douglas J. Besharov and Karen Baehler. New York: Oxford University Press, 2013. 314 pp. $74.00 (cloth). - Welfare Through Work: Conservative Ideas, Partisan Dynamics, and Social Protection in Japan. By Mari Miura. Ithaca, NY: Cornell University Press, 2012. 224 pp. $39.95 (cloth). - The Korean State and Social Policy: How South Korea Lifted Itself from Poverty and Dictatorship to Affluence and Democracy. By Stein Ringen, Huck-Ju Kwon, Ilcheong Yi, Taekyoon Kim, and Jooha Lee. New York: Oxford University Press, 2011. 146 pp. $58.00 (cloth).
Bibliographic record
Abstract
Chinese Social Policy in a Time of Transition. Edited by Douglas J. Besharov and Karen Baehler. New York: Oxford University Press, 2013. 314 pp. $74.00 (cloth). - Welfare Through Work: Conservative Ideas, Partisan Dynamics, and Social Protection in Japan. By Mari Miura. Ithaca, NY: Cornell University Press, 2012. 224 pp. $39.95 (cloth). - The Korean State and Social Policy: How South Korea Lifted Itself from Poverty and Dictatorship to Affluence and Democracy. By Stein Ringen, Huck-Ju Kwon, Ilcheong Yi, Taekyoon Kim, and Jooha Lee. New York: Oxford University Press, 2011. 146 pp. $58.00 (cloth). - Volume 15 Issue 3
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
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".