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Record W2792542249 · doi:10.5430/jms.v9n1p19

The Increasing Importance of Bilateral Agreements in the Foreign Trade Policy

2018· article· en· W2792542249 on OpenAlexvenueno aff
Zdzisław W. Puślecki

Bibliographic record

VenueJournal of Management and Strategy · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationCompetitor analysisInternational tradeOrder (exchange)HarmonizationInternational economicsCommercial policyTrade barrierTariffBusinessConvergence (economics)Economics

Abstract

fetched live from OpenAlex

The main aim of the article is indication of the increasing importance of bilateral agreements in the foreign trade policy. The subject of the discussion and theoretical contribution in the undertaken research program is presents new tendencies in international business - the rise of importance of bilateral agreements in foreign trade policy. It is important to underline that a few multinational firms are responsible for a major share of world trade and for the rise of global supply chains. On the one hand, these firms should support regulatory harmonization across different Preferential Trade Agreements (PTAs) in order to lower trade costs. On the other hand, they might also resist harmonization – and encourage certain non-tariff measures – in order to prevent new competitors from entering markets. This may partly explain the persistence of regulatory divergence, and suggests that the political economy of regulatory convergence, especially in the conditions of the rise global supply chains, may be more complex than is sometimes suggested.

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)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.054
GPT teacher head0.242
Teacher spread0.188 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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