Bibliographic record
Abstract
Previous article FreeContributorsPDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreYuqing Feng (冯煜清) is associate professor of law at the School of Law, Southeast University, Nanjing, China. His current research centers on legal consciousness and judicial reforms in China.Ivan Franceschini is a Marie Skłodowska-Curie Fellow at the Australian National University’s Australian Center on China in the World and at Ca’ Foscari University of Venice. His research focuses on labor and civil society in China and Cambodia. He is coeditor of the open access journal Made in China: A Quarterly on Chinese Labour, Civil Society, and Rights.Xin He (贺欣) is visiting professor of law (2017–18) at Southwestern University of Finance and Economics, China, and professor of law at University of Hong Kong. His recent articles have appeared in American Journal of Sociology, Law & Society Review, China Quarterly, and American Journal of Comparative Law. His book Embedded Courts: Judicial Decision Making in China (with Kwai Ng) was published by Cambridge University Press (2017). His research interests include judicial reforms in China and Chinese family law.Shu Keng (耿曙) is University Research Fellow in the Department of Sociology and the Center for Local Government and Social Governance Studies, both at Zhejiang University. His research interests range from comparative political economy to organizational sociology, especially Chinese local governments, government-business relations, and cross-Strait trade relations.Xingmiu Liao (廖幸谬) is a PhD candidate in the Department of Political Science, Tsinghua University, Beijing. His main research is on Chinese politics and society, Chinese ethnic minorities, and the Chinese Communist Party’s United Front organization.Elisa Nesossi is an Australian Research Council Early Career Research Fellow at the Australian National University’s Australian Centre on China in the World. Her scholarship focuses on Chinese law, criminal justice, human rights, and civil society in contemporary China.Lynette H. Ong is an associate professor of political science at the University of Toronto. She is the author of Prosper or Perish: Credit and Fiscal Systems in Rural China (Cornell University Press, 2012) and of papers in Perspectives on Politics, Comparative Politics, The China Quarterly, Journal of Contemporary Asia, and Foreign Affairs, among others.Baoqing Pang (庞保庆) is assistant professor in the School of Sociology and Political Science and the Center for Social Governance and Public Policy, both at Shanghai University. His main research focuses on Chinese politics, especially the behavior of local governments.Edward Schwarck is a visiting research fellow at the Japan Institute of International Affairs in Tokyo. His research interests include political-military affairs in China.Munish Sharma is a consultant at the Institute for Defence Studies and Analyses, New Delhi, and a doctoral candidate at the Centre for East Asian Studies, Jawaharlal Nehru University, New Delhi. His research interests include cybersecurity, critical information infrastructure protection, space security, and defense technologies. He is the author of the monograph Securing Critical Information Infrastructure: Global Perspectives and Practices (2017) and coeditor of the book Securing Cyberspace: International and Asian Perspectives (2016).Wen-Hsuan Tsai (蔡文轩) is an associate research fellow at the Institute of Political Science, Academia Sinica, Taiwan. His main research is on Chinese political development, comparative politics, and comparative authoritarian regimes. He has recently published in China Journal, China Quarterly, Journal of Contemporary China, Modern China, Asian Survey, and Problems of Post-Communism.Lingna Zhong (钟灵娜) is assistant professor in the School of Politics and International Studies and a Fellow at the Centre for Reforms in Rural China at Central China Normal University, Hubei. Her main research interests are China’s cadre management system and studies of Chinese local government. Previous article DetailsFiguresReferencesCited by The China Journal Volume 80July 2018 Published on behalf of the Australian Centre on China in the World at the Australian National University Article DOIhttps://doi.org/10.1086/697399 Copyright 2018 by The Australian National University. All rights reserved.PDF download Crossref reports no articles citing this article.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.854 | 0.731 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".