MétaCan
Menu
Back to cohort
Record W7006461775

Two Approaches to Economic Coercion

2024· article· en· W7006461775 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsCoercion (linguistics)SummitEconomic securityEuropean unionDeclarationEconomic impact analysisOrder (exchange)CommissionInternational economic lawSecurity interest
DOInot available

Abstract

fetched live from OpenAlex

Western states have frequently employed the “economic instrument”—“the granting or withholding of [economic] indulgences or deprivations” in order to “induce another actor or a group of actors to change a policy”—and they have long resisted calls for its international regulation. Yet the United States and the EU, and states aligned with them, responding to China’s recent application of its economic leverage, have increasingly questioned economic coercion’s use. In May 2023, at the G7 Summit in Hiroshima, the leaders noted the “disturbing rise in incidents of economic coercion that seek to exploit economic vulnerabilities and dependencies;” “express[ed] serious concern” regarding such coercion; and “call[ed] on all countries to refrain from its use.” Shortly thereafter, the EU-US Trade and Technology Council expressed the “concern” of the EU and the United States “with the continued use of economic coercion.” In early June, the governments of Australia, Canada, Japan, New Zealand, the UK, and the United States endorsed a Joint Declaration Against Trade-Related Economic Coercion and Non-Market Policies and Practices that “express[ed] . . . shared concern [regarding economic coercion] and affirm[ed] [a] commitment to enhance international cooperation in order to effectively deter and address” it. A couple of weeks later, the European Commission and the EU High Representative for Foreign Affairs identified “weaponisation of economic dependencies or economic coercion” as one of four “categories of risks to economic security” in the European Economic Security Strategy. In December 2023, an EU regulation on “the protection of the Union and its Member States from economic coercion by third countries”—known as the “Anti-Coercion Instrument” (ACI)—entered into force.\nThough the United States and other states have for years expressed concern about Chinese economic coercion, these recent statements, remarkable for those who made them, were all carefully worded to omit direct accusations against China (indeed, China went unnamed), to avoid assertions of legality and illegality, to implicitly delineate Chinese actions (improper) from those of the United States (permissible), and to obscure differences between the EU’s broader understanding of economic coercion (which may in fact implicate U.S. actions as much as China’s) and the United States’s narrower construction. China itself denies the (indirect) accusations leveled against it, and asserts that it is instead U.S. actions that constitute “economic coercion and bullying.”\nIn light of this recent U.S. and EU practice asserting new claims concerning economic coercion, and the charges of hypocrisy leveled by China against the United States and its allies, this Essay will revisit a topic about which Michael Reisman has given considerable thought. It will seek to identify the content and bounds of these new claims, as well as related ones that appear in recent resolutions of the Security Council and Human Rights Council, and assess and evaluate their contributions. This recent practice reflects different views of the proper role and use of power in international relations, which in the context of economic coercion is manifested in two distinct approaches: regulatory and abolitionist.

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)0.007
metaresearch head score (Gemma)0.015
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 score0.019
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0070.050
Scholarly communication0.0140.017
Open science0.0030.015
Research integrity0.0100.015
Insufficient payload (model declined to judge)0.0190.003

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 head0.080
GPT teacher head0.253
Teacher spread0.173 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueeYLS (Yale Law School)Same topicEconomic Sanctions and International RelationsFrench-language works237,207