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Record W1554431826 · doi:10.1108/jitlp-12-2012-0020

Cross-border labor mobility

2014· article· en· W1554431826 on OpenAlexaboutno aff
Caf Dowlah

Bibliographic record

VenueJournal of International Trade Law and Policy · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsLabor mobilityInterimContext (archaeology)LiberalizationEconomicsNegotiationInternational tradeInternational economicsConvergence (economics)Free tradeTrade barrierComparative advantageBusinessLabour economicsEconomic growthPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

Purpose – The purpose of the paper is to examine convergence of economic interests – both empirically and theoretically – among labor-abundant (labor-sending) and labor scarce (labor receiving) countries, in the context of Mode 4 of the General Agreement on Trade in Services (GATS) of the WTO. The paper also explores regional trade associations as an interim alternative forum for promoting temporary cross-border labor mobility in the backdrop of failure of multilateral trade negotiations under the Doha Round. Design/methodology/approach – The research methodology of the paper involves literature review, an analysis of databases and theoretical findings, and a critical examination of pertinent empirical and secondary information on the subject matter. Findings – The findings reveal that although a convergence of economic interests seem to exist between the labor-sending and receiving countries for promoting cross-border labor mobility, this sector faces formidable trade and non-trade barriers across the world, especially in the developed countries. As multilateral trade negotiations under the Doha Round have failed to make any progress toward liberalization of this sector, regional trade associations, especially those pursued by the USA, Canada and Australia, seem to provide a credible alternative vehicle, as an interim measure, for further liberalization of this sector. These RTAs can serve as examples for other RTAs to promote regional mobility of labor. Research limitations/implications – Cross-border temporary labor mobility, as envisaged by GATs of the WTO, is a burgeoning field. Although some serious works are available, especially sponsored by the World Bank and some leading universities, there is a considerable dearth in this field, especially in respect to contribution from individual scholars and researchers. This paper fills the void to some extent by ascertaining factors and forces that help or hinder cross-border mobility, by pointing out limitations of multilateral trade negotiations under the WTO, and by exploring the regional trade associations as an interim measure for promoting cross-border labor mobility. Practical implications – This paper points out factors and forces that help or hinder cross-border mobility, ascertains crucial limitations of multilateral trade negotiations under the WTO, and explores the RTAs as an interim measure for promoting cross-border labor mobility – all these would have practical policy implications. Originality/value – The originality of the paper lies with its critical and careful review of existing literature and available databases, with the determination of factors and forces that help or hinder cross-border mobility in the contemporary world, in pointing out the limitations of multilateral trade negotiations under the WTO, and in exploring the RTAs as an interim measure for promoting cross-border labor mobility.

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)0.004
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.028
GPT teacher head0.316
Teacher spread0.289 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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