MétaCan
Menu
Back to cohort
Record W2109632463 · doi:10.1515/gej-2014-0026

The TRIPS Agreement as a Coercive Threat: Estimating the Effects of Trade Ties on IPR Protection Regimes

2015· article· en· W2109632463 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

VenueGlobal economy journal · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of LethbridgeUniversity of Manitoba
Fundersnot available
KeywordsTRIPS architectureTRIPS AgreementIntellectual propertyVulnerability (computing)International tradeEconomicsInternational economicsDeveloping countryPanel dataPolitical scienceEconomic growthEconometricsLaw

Abstract

fetched live from OpenAlex

Negotiators from developed countries pushed hard for the inclusion of the TRIPS Agreement in the WTO set of agreements because it was viewed as a potentially effective method of coercing developing countries to strengthen their protection of intellectual property rights (IPR). We investigate whether the threat of cross-agreement retaliation, which could be authorized in disputes regarding the TRIPS Agreement, is effective in changing countries’ IPR protection regimes. The results from a panel empirical model suggest that both the TRIPS Agreement and the strength of trade ties with developed countries are important determinants of IPR protection regimes, but the vulnerability to potential trade losses through cross-agreement retaliation is not a uniformly significant determinant across geo-economic regions. These results extend beyond the TRIPS Agreement and highlight the potential ineffectiveness of the WTO’s retaliation mechanism as a coercive threat.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.053
GPT teacher head0.231
Teacher spread0.177 · 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