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Record W3084222084 · doi:10.1016/j.oneear.2020.08.013

Inclusion, Transparency, and Enforcement: How the EU-Mercosur Trade Agreement Fails the Sustainability Test

2020· article· en· W3084222084 on OpenAlexaff
Laura Kehoe, Tiago N.P. dos Reis, Patrick Meyfroidt, Simon Laursen Bager, Ralf Seppelt, Tobias Kuemmerle, Érika Berenguer, Michael Clark, Kyle Frankel Davis, Erasmus K. H. J. zu Ermgassen, Katharine N. Farrell, Cecilie Friis, Helmut Haberl, Thomas Kästner, Katie L. Murtough, U. Martin Persson, Alfredo Romero‐Muñoz, Chris O’Connell, Viola Valeska Schäfer, Malika Virah‐Sawmy, Yann le Polain de Waroux, Joseph M. Kiesecker

Bibliographic record

VenueOne Earth · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsMcGill University
FundersH2020 Marie Skłodowska-Curie ActionsIrish Research CouncilEuropean CommissionWellcome Trust
KeywordsTransparency (behavior)EnforcementInclusion (mineral)International tradeAgreementFree trade agreementSustainabilityInternational economicsBusinessPolitical scienceEconomicsFree tradeChemistryLaw

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.034
metaresearch head score (Gemma)0.085
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 score0.034
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.085
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0120.036
Scholarly communication0.0210.022
Open science0.0030.011
Research integrity0.0170.014
Insufficient payload (model declined to judge)0.0130.001

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 head0.025
GPT teacher head0.246
Teacher spread0.222 · 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

Citations63
Published2020
Admission routes1
Has abstractno

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