Bibliographic record
Abstract
Citation (2014), "List of Contributors", Experiments in Macroeconomics (Research in Experimental Economics, Vol. 17), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1108/S0193-230620140000017011 Publisher: Emerald Group Publishing Limited Copyright © 2014 Emerald Group Publishing Limited Jasmina Arifovic Department of Economics, Simon Fraser University, Burnaby, BC, Canada Tiziana Assenza Department of Economics and Finance, Università Cattolica del Sacro Cuore, Milan, Italy; CeNDEF, University of Amsterdam, The Netherlands Te Bao Department of Economics, Econometrics and Finance, University of Groningen, Groningen, The Netherlands Camille Cornand Université de Lyon, Lyon, France; CNRS, GATE Lyon Saint-Etienne, Ecully, France John Duffy Department of Economics, University of California, Irvine, CA, USA Frank Heinemann Department of Economics and Management, Technische Universität, Berlin, Germany Cars Hommes CeNDEF, University of Amsterdam and Tinbergen Institute, Amsterdam, The Netherlands Wolfgang J. Luhan Department of Economics, Ruhr-Universität Bochum, Bochum, Germany Domenico Massaro CeNDEF, Department of Quantitative Economics, University of Amsterdam and Tinbergen Institute, Amsterdam, The Netherlands Charles N. Noussair Department of Economics, Tilburg University, Tilburg, The Netherlands Luba Petersen Department of Economics, Simon Fraser University, Burnaby, BC, Canada Damjan Pfajfar Department of Economics, Tilburg University, Tilburg, The Netherlands Daniela Puzzello Department of Economics, Indiana University, Bloomington, IN, USA Michael W. M. Roos Department of Economics, Ruhr-Universität Bochum, Bochum, Germany Johann Scharler Department of Economics, University of Innsbruck, Innsbruck, Austria Janos Zsiros Department of Economics, Cornell University, Ithaca, NY, USA Book Chapters Experiments in Macroeconomics Research in Experimental Economics Experiments in Macroeconomics Copyright Page List of Contributors Macroeconomics in the Laboratory Experiments on Expectations in Macroeconomics and Finance Persistence of Shocks in an Experimental Dynamic Stochastic General Equilibrium Economy Forecast Error Information and Heterogeneous Expectations in Learning-to-Forecast Macroeconomic Experiments An Experiment on Consumption Responses to Future Prices and Interest Rates Experiments on Monetary Policy and Central Banking Evolving Better Strategies for Central Bank Communication: Evidence from the Laboratory Experimental Evidence on the Essentiality and Neutrality of Money in a Search Model
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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.744 | 0.761 |
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".