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Record W3121872600 · doi:10.22329/wyaj.v28i2.4504

Reinventing Regulation/Reinventing Accountability: Judicial Review in New Governance Regimes

2010· article· en· W3121872600 on OpenAlexvenueno aff
William D. Araiza

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityCorporate governancePolitical scienceScope (computer science)Public administrationAgency (philosophy)HumanitiesLawSociologyManagementSocial sciencePhilosophyEconomics

Abstract

fetched live from OpenAlex

This Essay considers the doctrinal and institutional challenges courts and designers of New Governance systems face when considering the availability and scope of judicial review. Part II briefly summarizes New Governance principles, while Part III explains the challenges they pose for American standing law. The Essay then considers solutions. Part IV considers aspects of other nations’ administrative standing law, considering whether those nations’ legal innovations overcome these hurdles while remaining true to courts’ proper role in reviewing agency action. Other nations have taken significant steps to resolve these issues; however, it remains unclear whether those resolutions transfer to the different institutional and legal structure in the United States. Part V considers whether the problem of standing can be resolved in a principled way by reconceptualizing the injury plaintiffs allege when they challenge New Governance regulation. Finally, Part VI considers the proper scope of judicial review of New Governance regulation.

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)0.090
metaresearch head score (Gemma)0.108
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: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.476

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0900.108
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0070.033
Scholarly communication0.0200.020
Open science0.0030.007
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.295
Teacher spread0.259 · 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
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

Citations0
Published2010
Admission routes1
Has abstractyes

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