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Record W2521398620

The Oxford Handbook of Law and Economics: Volume 3: Public Law and Legal Institutions

2017· preprint· en· W2521398620 on OpenAlexaboutno aff
Francesco Parisi

Bibliographic record

VenueRePEc: Research Papers in Economics · 2017
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSchools of economic thoughtLawComparative lawPublic lawSociologyPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Covering over one-hundred topics on issues ranging from Law and Neuroeconomics to European Union Law and Economics to Feminist Theory and Law and Economics, The Oxford Handbook of Law and Economics is the definitive work in the field of law and economics. The book gathers together scholars and experts in law and economics to create the most inclusive and current work on law and economics. Edited by Francisco Parisi, the Handbook looks at the origins of the field of law and economics, tracks its progression and increased importance to both law and economics, and looks to the future of the field and its continued development by examining a cornucopia of fields touched by work in law and economics. The uniqueness of its breadth, depth, and convenience make the volume essential to scholars, students, and contributors in the field of law and economics. Contributors to this volume - Robert G. Bone, The University of Texas at Austin School of Law Roger Bowles, University of York Anthony Braga, Rutgers University Mariano-Florentino Cuellar, Stanford University Andrew Daughety, Vanderbilt University Ben Depoorter, University of California, Hastings Isaac Ehrlich, University at Buffalo Winard Emons, University of Bern Richard A. Epstein, The New York University School of Law John M. de Figueiredo, Duke University Talia Fisher, Tel Aviv University Thomas Ginsburg, University of Chicago Law School Mitu Gulati, Duke University Andrew Guzman, USC Gould School of Law Keith Hylton, Boston University School of Law Robert Inman, Wharton School, University of Pennsylvania Daniel Klerman, USC Law School Bruce Kobayashi, George Mason Law School Jerry Mashaw, Yale University Geoffrey Miller, New York University Law School Erin O'Hara, Vanderbilt Law School Jennifer Reinganum, Vanderbilt University Paul Rubin, Emory University Daniel Rubinfeld, University of California, Berkeley and NYU Chris W. Sanchirico, University of Pennsylvania Daniel Shaviro, New York University Law School Paul B. Stephan, University of Virginia School of Law Edward H. Stiglitz, Cornell University Alan Sykes, Stanford Law School Joel Trachtman, Tufts University W. Mark C. Weidemaier, North Carolina at Chapel Hill Albert Yoon, University of Toronto Faculty of Law

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.073
GPT teacher head0.292
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations18
Published2017
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicLaw, Economics, and Judicial SystemsFrench-language works237,207