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Record W1514405757 · doi:10.1142/9789813220713_0004

The WTO Government Procurement Agreement and Its Impacts on Trade

2011· article· en· W1514405757 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 SCIENTIFIC eBooks · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsWestern University
Fundersnot available
KeywordsGovernment procurementBusinessGovernment (linguistics)International tradeAgreementInternational economicsTrade agreementProcurementEconomicsFree tradeMarketing

Abstract

fetched live from OpenAlex

This paper assesses the impacts of the WTO Government Procurement Agreement (GPA) on trade in both goods and services among members using a gravity model applied to a panel dataset covering 20 OECD countries over the period 1996-2008 for trade in goods and 1999-2008 for trade in services. The agreement dates from 1996 and covers 41 (mainly OECD) countries (/areas). China is now negotiating possible membership. Little has been written on the GPA which is a plurilateral agreement covering both goods and services. It mutually extends commitments only to signatories, but has commitments going beyond those in the earlier GATT procurement code. Government service markets are large, and trade in these also has spillover effects on trade in services and goods.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.051
GPT teacher head0.228
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