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Record W4389967703 · doi:10.1017/9781788210737.002

Digital is making us rethink global trade

2020· other· en· W4389967703 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeComputer scienceBusiness

Abstract

fetched live from OpenAlex

Globalization and trade from cross-border sales to global value chains A woman in Dusseldorf suffering from pain in her hip is x-rayed in a local hospital. Her x-ray is read and interpreted online by a specialist in Bangalore, who recommends her for hip replacement surgery. Prior to her surgery, her replacement hip joint is custom ‘printed’ in Dusseldorf on a 3-D printer manufactured in Toronto and operated remotely by a technician in Los Angeles. Her surgeon in Dusseldorf who installs the replacement hip, born in Damascus, received his medical training at a university in Shanghai and now works in Germany on a refugee visa. This tale of numerous intermediate and component goods, services, labour, data, and information crossing borders in different ways to deliver a hightechnology medical service needed by one individual is not a narrative of traditional international trade, any more than the complex web of regulations and international agreements governing each element of the service delivered is a product of traditional diplomacy. Trade and the diplomacy that facilitates it are already different today in many areas. They will continue to change in the future. As technologies have emerged and evolved over the past two and a half centuries, the way that products are designed, produced, and marketed has changed, the way that goods are bought and sold has changed. The part that international trade plays in that process has changed as well. Let us begin by examining how new technologies have changed how, and for whom, goods and services are produced. The first round of globalization, which began in the mid-nineteenth century, saw the transformation of the first industrial revolution's technologies of mass production and mechanization into a boom in international trade according to the model expected by the classical political economy theories of Adam Smith and David Ricardo. Producers increasingly produced and exported surpluses of goods (and later services) that used factors of production – labour, land, capital, knowhow – that existed in relative abundance where they were located. Hence their costs to produce these goods and services were relatively low.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0070.020
Scholarly communication0.0290.037
Open science0.0010.010
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0450.007

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 head0.020
GPT teacher head0.228
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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