Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».