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Record W4253496808 · doi:10.1086/691273

Contributors

2017· article· en· W4253496808 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Journal of Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsSociologyPoliticsPolitical scienceLawSociology of lawMedia studies

Abstract

fetched live from OpenAlex

Previous articleNext article FreeContributorsPDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreRourke L. O’Brien, Ph.D., is assistant professor at the LaFollette School of Public Affairs at the University of Wisconsin—Madison. He is an affiliate of the Center for Demography and Ecology and the Institute for Research on Poverty. From 2012 to 2014 he served as a senior policy advisor at the U.S. Department of the Treasury.Kiyoteru Tsutsui is associate professor and associate chair of the Department of Sociology and director of the Donia Human Rights Center and of the Center for Japanese Studies at the University of Michigan, Ann Arbor. His research has examined the evolution of global human rights and its impact on local politics, using cross-national quantitative analyses and qualitative case studies. His current research focuses on changing provisions about minority incorporation in all national constitutions in the world since the 18th century.Kwai Hang Ng is associate professor of sociology at the University of California, San Diego. His research interests include legal institutions, legal language, and culture.Xin He is professor of law at the City University of Hong Kong. His research interests focus on examining the operation of the Chinese legal systems from a law and society perspective.Andrew G. Walder is the Denise O’Leary and Kent Thiry Professor in the School of Humanities and Sciences, and senior fellow in the Freeman Spogli Institute for International Studies. A political sociologist, Walder has long specialized on the sources of conflict, stability, and change in communist regimes and their successor states. His current research focuses on popular political mobilization in late-1960s China and the subsequent collapse and rebuilding of the Chinese party-state.Qinglian Lu is a Ph.D. candidate in sociology at Stanford University. Her research interests include social networks and organizations and economic sociology.Mikołaj Jan Piskorski is professor of strategy and innovation at the Institute for Mangement Development in Lausanne, Switzerland. His research examines how people interact on social media platforms. His recent book is Social Strategy: How We Profit from Social Media (Princeton University Press, 2014).Andreea D. Gorbatâi is assistant professor at the Haas School of Business, University of California, Berkeley. She received her Ph.D. from the joint program in Organizational Behavior and Sociology at Harvard University. Her research focuses on collaborative production and new forms of organizations and organizing. Her current projects employ computational methods such as topic modeling, sentiment analysis, and deep learning techniques to explain variations in behavior and outcomes among participants in online marketplaces for entrepreneurial funding and financial exchanges.Pierre Azoulay is a professor at the MIT Sloan School of Management, and a research associate at the National Bureau of Economic Research. His research focuses on the economic study of scientific institutions and their impact on the rate and direction of technological change.Christopher C. Liu is assistant professor of strategy at the Rotman School of Management at the University of Toronto. His research explores spatial networks and how geography shapes communication patterns and market interactions. Empirical settings for his work have ranged from biotechnology firms to the U.S. Senate Chamber. Chris also has a long-standing interest in scientists, innovation, and productivity.Toby E. Stuart is at the University of California, Berkeley. His current research projects investigate the determinants of entrepreneurship in the science- and technology-based economy and the sociology of prizes in the academic sciences. Previous articleNext article DetailsFiguresReferencesCited by American Journal of Sociology Volume 122, Number 4January 2017 Article DOIhttps://doi.org/10.1086/691273 © 2017 by The University of Chicago. 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.377
Teacher spread0.355 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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