The Oxford Handbook of Economic Inequality
Bibliographic record
Abstract
The Oxford Handbook of Economic Inequality presents a new and challenging analysis of economic inequality, focusing primarily on economic inequality in highly developed countries. Bringing together the world's top scholars this comprehensive and authoritative volume contains an impressive array of original research on topics ranging from gender to happiness, from poverty to top incomes, and from employers to the welfare state. The authors give their view on the state-of-the-art of scientific research in their fields of expertise and add their own stimulating visions on future research. Ideal as an overview of the latest, cutting-edge research on economic inequality, this is a must have reference for students and researchers alike. Contributors to this volume - Anders Bjorklund, Stockholm University Francine D. Blau, Cornell University Andrea Brandolini, Banca d'Italia Richard V. Burkhauser, Cornell University Gary Burtless, The Brookings Institution Daniele Checchi, L'Universita degli Studi di Milano Kenneth A. Couch, University of Connecticut James B. Davies, University of Western Ontario Gosta Esping-Andersen, Universitat Pompeu Fabra Francisco H.G. Ferreira, The World Bank Ada Ferrer-i-Carbonell, Institut d'Analisi Economica-C.S.I.C. Barcelona Nancy Folbre, University of Massachusetts Amherst Richard B. Freeman, Harvard University The Late Andrew Glyn, University of Oxford Mary B. Gregory, University of Oxford Markus Jantti, Abo Akademi University Christopher Jencks, Harvard University Stephen Jenkins, ISER, University of Essex Martin Kahanec, IZA, Bonn Lawrence M. Kahn, Cornell University Julia Lane, University of Chicago Andrew Leigh, Australian National University Claudio Lucifora, Universita Cattolica del Sacro Cuore Stephen Machin, University College London Ive Marx, University of Antwerp Nolan McCarty, Princeton University John Myles, University of Toronto Brian Nolan, University College Dublin Jonas Pontusson, Princeton University Martin Ravallion, The World Bank John E. Roemer, Yale University Wiemer Salverda, University of Amsterdam Timothy M. Smeeding, Syracuse University Philippe van Kerm, CEPS/INSTEAD Bernard van Praag, University of Amsterdam Jelle Visser, University of Amsterdam Sarah Voitchovsky, University of Oxford Klaus Zimmermann, IZA, Bonn
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How this classification was reachedexpand
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".