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Record W4249573190 · doi:10.1086/710213

Contributors

2020· article· en· W4249573190 on OpenAlexaboutno aff

Bibliographic record

VenueThe China Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsChinaCommunismGovernment (linguistics)Political sciencePoliticsSchools of economic thoughtSociologyPublic administrationLawEconomics

Abstract

fetched live from OpenAlex

Previous article FreeContributorsFull TextPDF Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreBjörn A. Gustafsson is Professor Emeritus at the Department of Social Work, University of Gothenburg, Sweden. He is also a research fellow at the Institute for the Study of Labor (IZA), Bonn, Germany. Since the 1990s he has been involved in research on the economic situation of households and workers in China.Hong Lian is an Associate Professor in the School of Government, Sun Yat-Sen University, Guangzhou, China. His research interests are organizational learning, personnel policies, and incentive designs in the Chinese government.Xingmiu Liao (廖幸谬) is a Postdoctoral Research Fellow in the Department of Political Science, School of Government, Sun Yat-sen University, China. His main research is on Chinese politics and society, Chinese ethnic minorities, and the Chinese Communist Party’s United Front organization. He has recently published in Journal of Contemporary China, China Review, Journal of East Asian Studies, China: An International Journal, China Information, and Problems of Post-Communism.Terry Sicular is Professor of Economics at the University of Western Ontario in Canada. She has been doing research on China’s economy since the late 1970s. She has been a lead researcher in the China Household Income Project, and in recent years her research has focused on topics related to incomes, inequality, poverty, the middle class, and education in China.Xin Sun (孙昕) is Lecturer in Chinese and East Asian Business at the Lau China Institute and King’s Business School, King’s College London. His research interests include political economy, government-business relations, and the politics of land and property rights in China. His recent articles have appeared in Journal of Public Policy, Political Studies, Problems of Post-Communism, and World Development.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, Chinese governance and innovation, comparative politics, and comparative authoritarian regimes. He has recently published in The China Journal, The China Quarterly, Journal of Contemporary China, Modern China, Asian Survey, China Review, China Information, China: An International Journal, Problems of Post-Communism, Journal of East Asian Studies, and Issues & Studies.Xiuna Yang (杨修娜) is Associate Researcher at the China Development Research Foundation (CDRF) in Beijing. Her research focuses on labor economics and income distribution. In the past two years she has been especially interested in studying the Chinese middle class.You Ji is Professor of International Relations and head of the Department of Government at University of Macau. He is the author of four books in English and numerous academic papers. His research interests cover Chinese politics and defense and international security.Xueguang Zhou is Professor of Sociology and Senior Fellow at the Freeman Spogli Institute for International Studies, Stanford University. His current research examines patterns of personnel flow in the Chinese bureaucracy and the historical origins of the bureaucratic state in China. Previous article DetailsFiguresReferencesCited by The China Journal Volume 84July 2020 Published on behalf of the Australian Centre on China in the World at the Australian National University Article DOIhttps://doi.org/10.1086/710213 Views: 194 Copyright 2020 by The Australian National University. All rights reserved. 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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.847
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0030.001
Scholarly communication0.0080.005
Open science0.0030.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8470.715

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.

Opus teacher head0.017
GPT teacher head0.269
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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