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Record W4200190024 · doi:10.1016/j.esg.2021.100126

Earth system law: Exploring new frontiers in legal science

2021· article· en· W4200190024 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEarth System Governance · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsUniversity of Regina
FundersH2020 European Research CouncilAustralian Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsAnthropoceneEarth system scienceScholarshipCorporate governanceOrder (exchange)Environmental ethicsSociologyStakeholderEngineering ethicsPolitical scienceEpistemologyLawEcologyEngineeringBusinessPhilosophy

Abstract

fetched live from OpenAlex

The Anthropocene requires of us to rethink global governance challenges and effective responses with a more holistic understanding of the earth system as a single intertwined social-ecological system. Law, in particular, will have to embrace such a holistic earth system perspective in order to deal more effectively with the Anthropocene's predicaments. While a growing number of scholars have tried to reimagine law and legal scholarship in a more holistic way, these attempts remain siloed. What is required is a shared epistemic framework to enable and enhance collaborative intradisciplinary and interdisciplinary research and co-learning that go hand in hand with thorough transdisciplinary stakeholder engagement. We argue that the nascent concept of earth system law offers such an overarching epistemic framework. This article serves as an invitation to fellow explorers from various legal fields, other disciplines, and from a wide range of stakeholders to explore new frontiers in earth system law. Our aim is to further stimulate the study of earth system law, and to encourage collaboration and co-learning in a fertile epistemic space that we share.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.022
GPT teacher head0.243
Teacher spread0.221 · 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