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Record W4412196942 · doi:10.1111/twec.13730

Global Governance, Economic Sanctions and Agricultural Trade in a Fragmenting World Economy

2025· article· en· W4412196942 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

VenueWorld Economy · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsUniversity of Guelph
FundersNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsSanctionsAgricultureCorporate governanceWorld tradeWorld economyInternational tradeEconomic sanctionsEconomicsProtectionismBusinessEconomyPolitical scienceGeographyFinance

Abstract

fetched live from OpenAlex

ABSTRACT Global governance and agricultural trade are undergoing a substantial transformation driven by geopolitical shifts, declining multilateralism and the rise of economic sanctions. This editorial synthesises contributions from a collection of invited works that examine the impacts of these changes on trade systems, food security and value chains. The collection explores how the shift from multilateralism to regionalism, the spread of sanctions and evolving governance frameworks influence agricultural trade and policy outcomes. Key themes include the resilience of agri‐food systems to disruptions, the role of trade agreements in mitigating shocks and the balance between environmental goals and trade facilitation. These studies call for a more adaptive governance framework that can safeguard agricultural trade and food systems amid rising geopolitical tensions and institutional fragmentation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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