Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Gediminas Adomavicius (“ REQUEST: A Query Language for Customizing Recommendations ”) is an associate professor of information and decision sciences at the Carlson School of Management, University of Minnesota. He received his Ph.D. in computer science from New York University. His research interests include personalization, recommender systems, data mining, and complex electronic market mechanisms. His research has been published in several leading information systems and computer science journals, including Information Systems Research, MIS Quarterly, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, INFORMS Journal on Computing, and Data Mining and Knowledge Discovery. He is an associate editor at Information Systems Research and INFORMS Journal on Computing. He received the NSF CAREER award in 2006 for his research on personalization technologies. Ritu Agarwal (“ Competing ‘Creatively’ in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance ”) is the Robert H. Smith Dean's Chair at the Robert H. Smith School of Business, University of Maryland. She is also the Director of the Center for Health Information and Decision Systems at the Smith School. She is also currently serving as the editor-in-chief of Information Systems Research. Her current research examines the transformation of healthcare through information technology. She is also working on understanding the effects of health 2.0 and online communities on patient outcomes. Ritu has published extensively in a variety of journals. Animesh Animesh (“ Competing ‘Creatively’ in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance ”) is an assistant professor at the Desautels Faculty of Management, McGill University, Canada. He studies the adoption, design, and impact of Internet technologies and electronic commerce. Animesh has a Ph.D. from the University of Maryland, a master's degree in information systems management from Carnegie Mellon University, and a bachelor's degree in business studies from Delhi University. Subhajyoti Bandyopadhyay (“ The Debate on Net Neutrality: A Policy Perspective ”) is currently an assistant professor in the Department of Information Systems and Operations Management, University of Florida. He received his Ph.D. in MIS from Purdue University in 2002. His work has been published in several journals in information systems and operations management. His current research interests include economics of information systems, and information systems policy issues, especially in the area of net neutrality and health informatics. Ravi Bapna (“ A Finite Mixture Logit Model to Segment and Predict Electronic Payments System Adoption ”) is an associate professor in the Information and Decision Sciences Department, Carlson School of Management, University of Minnesota. He also serves as the Executive Director of the Centre for Information Technology and the Networked Economy (CITNE) at the Indian School of Business. His research has been extensively published in a wide array of journals such as Management Science, Informs Journal on Computing, Statistical Science, Information Systems Research, the Journal of Retailing, MIS Quarterly, Decision Sciences, CACM, Naval Research Logistics, DSS, EJOR, and ITM. Hock Chuan Chan (“ Conceptualizing and Testing a Social Cognitive Model of the Digital Divide ”) is an associate professor at the Department of Information Systems, National University of Singapore, Singapore. He has a B.A. and an M.A. from the University of Cambridge, as well as a Ph.D. from the University of British Columbia. His main research areas are user-database interaction, spreadsheet visualization, and information systems acceptance. He has published in conferences such as ICIS, PACIS, HICSS, and ECIS, and journals such as ACM Transactions on Computer-Human Interaction, Decision Support Systems, IEEE Transactions on Professional Communication, International Journal of Human Computer Studies, Journal of Database Management, and MIS Quarterly. He is on the editorial board of AIS Transactions on Human-Computer Interaction, Journal of Database Management, and Journal of Electronic Commerce Research. Ramnath K. Chellappa (“ Price Formats as a Source of Price Dispersion: A Study of Online and Offline Prices in the Domestic U.S. Airline Markets ”) is an associate professor at the Goizueta Business School, Emory University. He is known for his work on the economics of digital goods piracy and information privacy and is widely published in top IS journals and conferences. He routinely consults for the entertainment industry and is associated with the first academic coinage of the term “cloud computing.” He received his Ph.D. from the McCombs School of Business at the University of Texas at Austin. Hsing Kenneth Cheng (“ The Debate on Net Neutrality: A Policy Perspective ”) is an associate professor and Walter J. Matherly Professor in the Department of Information Systems and Operations Management, University of Florida. He received his Ph.D. in computers and information systems from University of Rochester in 1992. His research interests focus on economics of information systems, information systems policy issues, and computer-mediated social networks. Alan R. Dennis (“ Profiting from Knowledge Management: The Impact of Time and Experience ”) is a professor of information systems and holds the John T. Chambers Chair of Internet Systems in the Kelley School of Business at Indiana University. He has served as a senior editor at MIS Quarterly, and as the publisher of MIS Quarterly Executive (http://www.misqe.org). Prof. Dennis has written more than 100 research papers focusing on four main themes: the use of computer technologies to support team creativity and decision making, knowledge management, the use of the Internet to improve business and education, and professional issues facing IS academics. Rajiv M. Dewan (“ Firms as Incubators of Open-Source Software ”) is an associate professor of computers and information systems at the William E. Simon Graduate School of Business Administration at the University of Rochester. His research interests include management of information systems in organizations, markets for information goods and services, and electronic commerce. His research appears in Management Science, the Journal of Management Information Systems, Communications of the ACM, the Journal of Computing, and other journals. Kutsal Doğan (“ Managing the Versions of a Software Product Under Variable and Endogenous Demand ”) is an assistant professor at the University of Texas at Dallas. He holds a Ph.D. degree in decision and information sciences from University of Florida. He is interested in economics of information products and services, development, and pricing issues in closed- and open-source software. His research also includes marketing and consumer promotions and particularly issues applying to Internet businesses. Doğan serves on the editorial boards of Decision Sciences Journal and International Journal of E-Business Research. Marshall Freimer (“ Firms as Incubators of Open-Source Software ”) is a professor of management science and computers and information systems at the William E. Simon Graduate School of Business Administration, the University of Rochester. He utilizes applied probability and decision sciences to analyze problems in information management, electronic commerce, marketing, and healthcare. His papers have appeared in engineering, management, economics, mathematics, and statistics journals. Esther Gal-Or (“ Compatibility and Proprietary Standards: The Impact of Conversion Technologies in IT Markets with Network Effects ”) is the Glenn E. Stinson Chair in competitiveness at the Katz Graduate School of Business, University of Pittsburgh. She received her Ph.D. from the Kellogg Graduate School of Management at Northwestern University in 1980. Dr. Gal-Or's research interests are in industrial organization, game theory, and the industrial structure of healthcare and media markets. Her research has been published in economics and management journals such as Econometrica, Review of Economic Studies, Journal of Economic Theory, Bell (RAND) Journal of Economics, Journal of Economics and Management Strategy, Journal of Business, Management Science, and Marketing Science. Paulo Goes (“ A Finite Mixture Logit Model to Segment and Predict Electronic Payments System Adoption ”) is the Salter Distinguished Professor of management and technology and the head of the MIS Department, University of Arizona. His research has appeared in several journals, including Management Science, MISQ, ISR, and is or has been an associate editor of Management Science, Decision Sciences, the JMIS, Production and Operations Management, and the INFORMS Journal on Computing. Hong Guo (“ The Debate on Net Neutrality: A Policy Perspective ”) is a Ph.D. candidate in the Department of Information Systems and Operations Management at Warrington College of Business Administration, University of Florida. Her research interests include economic analysis of IS policy issues, network analysis and computer-mediated social networks, quantum computing, and quantum games. Yonghua Ji (“ Managing the Versions of a Software Product Under Variable and Endogenous Demand ”) is an assistant professor in the Department of Accounting and MIS at the School of Business, University of Alberta. He received his Ph.D. in management with a concentration in information systems from the University of Texas at Dallas in 2003. His research has been published in
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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 it