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Record W2803370899 · doi:10.4337/9781786430793.00007

Regulating judges: challenges, controversies and choices

2016· book-chapter· en· W2803370899 on OpenAlexfundno aff
Richard Devlin, Adam M. Dodek

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2016
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
FundersUniversity of OxfordUniversiteit UtrechtUniversity of CambridgeMcGill University
KeywordsAccountabilityIndependence (probability theory)Foundation (evidence)Political scienceLaw and economicsPyramid (geometry)Frame (networking)EpistemologyEngineering ethicsPositive economicsLawSociologyEconomicsComputer scienceEngineering

Abstract

fetched live from OpenAlex

In this Introduction to Regulating Judges: Beyond Independence and Accountability the authors begin by outlining the conventional frame of reference adopted in the judicial studies literature as being premised upon an independence/accountability continuum. While recognizing the strengths of this traditional approach, the authors argue that analyses of the judiciary could be enriched by adopting some of the insights from contemporary regulation theory. On this foundation they then develop a new conceptual framework based upon a regulatory pyramid comprised of values, processes, resources and outcomes. The latter part of the chapter then road-tests this innovative paradigm by filtering the 19 chapters through the regulatory pyramid to: (a) identify a number of common challenges; (b) highlight several significant controversies; and (c) emphasize the plurality of choices available for the regulation of judges.

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 imitation

Not 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.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0110.041
Scholarly communication0.0210.018
Open science0.0040.006
Research integrity0.0150.023
Insufficient payload (model declined to judge)0.0040.001

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 head0.029
GPT teacher head0.209
Teacher spread0.180 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2016
Admission routes1
Has abstractyes

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Same venueEdward Elgar Publishing eBooksSame topicInternational Arbitration and Investment LawFrench-language works237,207