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Record W7095545861

e-brief Stumbling Forward on Trade: The Doha Round, Free Trade Agreements, and Canada

2008· article· en· W7095545861 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsFree tradeNegotiationMultilateral trade negotiationsGovernment (linguistics)Free trade agreementTrade barrierWorld tradeCommercial policy
DOInot available

Abstract

fetched live from OpenAlex

In recent years, the world has seen a proliferation of free trade agreements (FTAs) and, with the Doha Round on the rocks, the trend will likely continue.1 The flurry of newly ratified and potential US FTAs, notably with Australia and Korea, has been particularly worrisome for Canadians. Fears that Canada’s importance in US trade could dwindle, relegating Canada to a spoke on a US trading hub – a sentiment which helped bring about the Canada–US FTA and ultimately NAFTA – have re-emerged (Wonnacott 1990). These fears have brought calls to deepen North American integration (Robson 2007, Dymond and Hart 2008) and – the focus of this study – to expand Canada’s roster of FTA partners (Standing Committee on International Trade 2007).2 Indeed, in the past year, Canada’s federal government has initiated or negotiated trade agreements with numerous countries, including Colombia, Peru, and Korea and, most recently, the European Union. But before continuing headlong into the FTA game, Ottawa should pause to consider the effects of creating a web of FTAs. The decision to pursue FTAs should not be made lightly, because FTAs have the tendency to interfere with multilateral trade negotiations that potentially would deliver broader benefits (Limão 2006, Karacaovali and Limão 2008 and Adler 2007). How do they interfere? Countries ’ interests may shift away from global trade toward regional FTAs (Bhagwati 1991, 2008). The benefit a country derives from an FTA may cause it to approach multilateral trade negotiations with more I N

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.066
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0180.005
Scholarly communication0.0170.007
Open science0.0010.003
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0660.005

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 head0.074
GPT teacher head0.232
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 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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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Same topicHistorical Studies on Reproduction, Gender, Health, and Societal ChangesFrench-language works237,207