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Record W1974561713 · doi:10.2202/1524-5861.1463

Infrastructure, Commodity Spectra, and Trade Transitions in Economic Development

2009· article· en· W1974561713 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 · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDiversification (marketing strategy)CommodityHuman capitalEconomicsInternational tradeEndogenous growth theoryChinaTrade in servicesTourismBusinessInternational economicsIndustrial organizationTrade barrierFinanceMarket economy

Abstract

fetched live from OpenAlex

Infrastructure growth and its regional concentration can accelerate growth and diversification of international trade, in terms of both commodities and the implied factor content. The origins and mechanism are explored via a model of endogenous growth that internalizes social spending on physical infrastructure, leading to the accumulation of human capital as a result of learning by doing. Infrastructure developed in the first instance to enhance and diversify manufactured exports can create a supply push into the export of human capital services. As a leading case study, China's recent free trade agreements show clear signs of a development strategy shifting orientation towards the export of services, such as those relating to infrastructure construction and tourism, and the financial services required in support.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.207
Teacher spread0.183 · 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