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Record W2559417282 · doi:10.1111/ropr.12218

Judicialization of Environmental Policy and the Crisis of Democratic Accountability

2016· article· en· W2559417282 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReview of Policy Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAccountabilityPolityDemocracyArgument (complex analysis)Context (archaeology)PoliticsSanctionsLaw and economicsPolitical scienceSupreme courtPublic administrationEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract A growing global trend of judicializing environmental policy has been received with optimism, and in the context of democracies in transition, many have found in an active Supreme Court a potential solution to political impasses. However, as the judiciary is the least democratic of the three branches of government, what impact does judicialization have on democratic accountability? We claim that judicialization generates accountability losses in two ways. First, theoretically, when the Court takes on managerial functions that extend beyond its adjudicative role, it distorts its horizontal accountability functions. Second, empirically, when the Court becomes involved in policy formulation, effectiveness is not guaranteed yet there are no vertical accountability sanctions the polity can impose on judges. We illustrate this argument with an emblematic and instructive case of judicialization of environmental policy in Argentina. We conclude that judicialization to remedy policy failures undermines democratic accountability.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.080
GPT teacher head0.456
Teacher spread0.376 · 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