MétaCan
Menu
Back to cohort
Record W3156582688 · doi:10.1016/j.esg.2021.100103

Harnessing the transformative potential of Earth System Law: From theory to practice

2021· article· en· W3156582688 on OpenAlexaff
Laura Mai, Emille Boulot

Bibliographic record

VenueEarth System Governance · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsMcGill University
FundersEconomic and Social Research CouncilUK Research and InnovationHeinrich Böll Stiftung
KeywordsTransformative learningEarth system sciencePerspective (graphical)LawEngineering ethicsSociologySystems theoryPolitical scienceEpistemologyLaw and economicsEnvironmental ethicsComputer scienceEngineeringEcologyPhilosophy

Abstract

fetched live from OpenAlex

Earth System Law has been proposed as an alternative conceptual framework to animate and support more adequate legal responses to planetary change. The emerging Earth System Law literature has sketched the contours of this new legal paradigm and reflected on its implications for the legal scholarly community. However, to date, less attention has been paid to the challenges of harnessing the transformative potential of Earth System Law; that is, its promise to evolve from a theoretically innovative perspective to facilitating positive, on-the-ground change. In this paper, we therefore ask: Which issues and questions will the Earth System Law research community have to engage with to ensure that Earth System Law is able to initiate and drive the processes of transformative change which it purports to support? And, which starting points can we identify for productively engaging with these issues? Responding to these questions, we articulate a theory-to-practice agenda which sets out departure points for working towards Earth System Law finding resonance in practice.

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)0.074
metaresearch head score (Gemma)0.066
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 score0.074
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.066
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0100.114
Scholarly communication0.0300.037
Open science0.0050.018
Research integrity0.0130.016
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.250
Teacher spread0.242 · 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

Citations22
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueEarth System GovernanceSame topicEnvironmental law and policyFrench-language works237,207