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Record W2126773445

Economic Integration in Europe: Its Effects on Canada

2005· article· en· W2126773445 on OpenAlexaboutno aff
Richard Cameron, Denise Côté, Christopher Graham

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionInternational tradeCommodityCommonwealthInternational economicsEconomic integrationTrade diversionEconomicsAccessionPolitical scienceInternational free trade agreement
DOInot available

Abstract

fetched live from OpenAlex

For the past half century, European countries have undertaken a series of measures that have liberalized trade and factor flows among member states of the European Union (EU). They have also harmonized various government policies, including external commercial policy and monetary policy. This increased integration has greatly expanded economic transactions within Europe, possibly at the expense of trade and factor flows with non-member states, including Canada. In this paper, we examine how Europe’s increasing economic integration has affected its trade with Canada. Based on a Canadian export share model that controls for relative price competitiveness and relative income, we find evidence that increased European economic integration has reduced Canada’s relative exports to the EU. This decline can be attributed almost completely to a dramatic fall in the relative importance of Canadian non-energy commodity exports to the United Kingdom. Moreover, when increased Canada-United States trade is accounted for, Canada’s export share to the EU, excluding the United Kingdom, has been stable over the past fifty years while that of the UK has trended down. This shift in UK imports was likely driven primarily by Britain’s co-founding of the European Free Trade Association in 1960 as well as that country’s accession to the European Community (EC) in 1973 which left Canada, and other Commonwealth countries, such as Australia and New Zealand, without their preexisting preferential trade treatment.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.512

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.014
Science and technology studies0.0080.002
Scholarly communication0.0060.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.025
GPT teacher head0.183
Teacher spread0.158 · 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
Published2005
Admission routes1
Has abstractyes

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