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Record W128978027 · doi:10.58948/0738-6206.1730

The Liberal Limits of Environmental Law: A Green Legal Critique

2013· article· en· W128978027 on OpenAlexafffund
Michael M’Gonigle, Louise Takeda

Bibliographic record

VenuePace Environmental Law Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsUniversity of Victoria
FundersUniversity of Victoria
KeywordsContradictionEcological modernizationEnvironmental lawResource (disambiguation)State (computer science)Law and economicsPoliticsPolitical scienceEconomic systemLawEconomicsSociology

Abstract

fetched live from OpenAlex

The field of environmental law embodies a deep contradiction—it is a product of the state, yet the state is the primary agent of development. This contradiction infuses state-supported resource regimes (energy, forestry, agriculture, water use) that have long been agents of environmental erosion while they have remained resistant to progressive reform. It also underpins the theoretical framework for proposed reforms today, ecological modernization. The result is that environmental law extends, rather than resolves, society’s underlying environmental “problematic.” This can now be seen in institutional responses to climate change and the “green economy.” To address this situation, the authors apply a critical new approach—green legal theory (GLT)—to analyze these historical resource regimes and today’s emerging issues. GLT does so by expanding the conception of law to address the “constitutive” or “regulatory” effects of those “system dynamics” that set the larger economic, political, and cultural conditions for social/environmental relations. In this task, GLT aims to help move “legal” analysis into the pursuit of the systemic re-formations that exist beyond the liberal limits of environmental 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 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)0.014
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0060.055
Scholarly communication0.0120.014
Open science0.0030.005
Research integrity0.0130.016
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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 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

Citations38
Published2013
Admission routes2
Has abstractyes

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