MétaCan
Menu
Back to cohort
Record W2115457048 · doi:10.1017/s1474745613000220

Law, politics, and the true cost of protectionism: the choice of trade remedies or binding overhang

2013· article· en· W2115457048 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 Trade Review · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsMcGill University
Fundersnot available
KeywordsIncentiveProtectionismFlexibility (engineering)Government (linguistics)PoliticsEconomicsLaw and economicsInternational economicsInternational tradePublic economicsPolitical scienceLawMarket economy

Abstract

fetched live from OpenAlex

Abstract The literature on escape clauses in international commerce focuses on the workings of trade remedies. The logic is that, by adhering to a strict methodology that is subject to legal review, trade remedies credibly signal that the government is only temporarily defecting from free trade. And yet, countries often turn, instead, to a measure that does not adhere to a strict methodology and is not subject to legal review: binding overhang, or the gap between a country's bound and applied tariffs. What explains a government's decision to use trade remedies or binding overhang? We argue that trade remedies are used where import surges are big enough that injury can be proven, but low enough that governments have incentive to prove it. Otherwise, binding overhang is their flexibility measure of choice. We conduct a variety of empirical analyses concerning 22 emerging economies with access to both trade remedies and binding overhang. The results strongly bear out our hypothesis, shedding new light on governments' incentives over the design of the law governing flexibility provisions.

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 score0.970
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.093
GPT teacher head0.255
Teacher spread0.162 · 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