Bibliographic record
Abstract
Citation (2015), "Editorial Board", Studies in Law, Politics, and Society (Studies in Law, Politics, and Society, Vol. 66), Emerald Group Publishing Limited, Bingley, pp. ix-x. https://doi.org/10.1108/S1059-433720150000066008 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Gad Barzilai Political Science University of Washington, USA and Tel Aviv University, Israel Paul Berman Law George Washington University, USA Roger Cotterrell Legal Theory Queen Mary College, University of London, UK Jennifer Culbert Political Science Johns Hopkins University, USA Eve Darian-Smith Global Studies University of California, Santa Barbara, USA David Delaney Law, Jurisprudence, and Social Thought Amherst College, USA Florence Dore English University of North Carolina, USA David Engel Law State University of New York at Buffalo, USA Anthony Farley Law Albany Law School, USA David Garland Law New York University, USA Jonathan Goldberg-Hiller Political Science University of Hawaii, USA Laura Gomez Law University of California, Los Angeles, USA Piyel Haldar Law Birkbeck College, University of London, UK Thomas Hilbink Open Society Institute, USA Desmond Manderson Law McGill University, Canada Jennifer Mnookin Law U.C.L.A., USA Laura Beth Nielsen Research Fellow American Bar Foundation, USA Paul Passavant Political Science Hobart and William Smith College, USA Susan Schmeiser Law University of Connecticut, USA Jonathan Simon Jurisprudence and Social Policy University of California, Berkeley, USA Marianna Valverde Criminology University of Toronto, Canada Alison Young Criminology University of Melbourne, Australia Book Chapters Studies in Law, Politics, and Society Studies in Law, Politics, and Society Studies in Law, Politics, and Society Copyright Page List of Contributors Editorial Board Rights Discourse and the Mobilization of Bias: Exploring the Institutional Dynamics of the Same-Sex Marriage Debates in America Unearthing a Network of Resistance: Law and the Anti-Strip Mining Movement in Central Appalachia Racist Localisms and the Enduring Cultural Life of America’s Death Penalty: Lessons from Maricopa County, Arizona Toward Justice: Neuroscience and Affirmative Defenses at the ICC While in Rome, Do as Romans Do? Persistence of Legal Culture: The Case of Immigrants from the Former Soviet Union to Israel US Immigration Policy and the 21st Century Conundrum of “Child Saving”: A Human Rights, Law and Social Science, Political, Economic, and Philosophical Inquiry
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".