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Record W890744083 · doi:10.54648/trad2015018

A Protectionist Bargain?: Agriculture in the European UnionCanada Trade Agreement

2015· article· en· W890744083 on OpenAlexaboutno aff
Jill E. Hobbs

Bibliographic record

VenueJournal of World Trade · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsProtectionismAgreement on AgricultureInternational tradeInternational economicsSubsidyAgricultureTrade agreementEuropean unionNegotiationFree tradeEconomicsCommercial policyCustoms unionTrade barrierBusinessPolitical scienceGeographyMarket economy

Abstract

fetched live from OpenAlex

The EU and Canada have been negotiating a preferential trade agreement - the Comprehensive Economic and Trade Agreement (CETA) - since 2009.The negotiations have been conducted in strict secrecy with an agreement only reached in late September 2014.This was the first time the text of the agreement was made public. This article examines those parts of the text of the agreement which pertain to agri-food trade. The facets of the agreement examined include those that directly affect agriculture - tariffs, TRQs, subsidies, safeguards and rules of origin - as well as other facets of the agreement that indirectly affect agriculture - pricing of wines, geographical indications, environment, sustainability, anti-dumping. The general conclusion is that little in the way of agricultural trade liberalization was achieved and protectionist interests were maintained.

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)0.012
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0140.015
Scholarly communication0.0200.007
Open science0.0020.007
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.211
Teacher spread0.181 · 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
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

Citations16
Published2015
Admission routes1
Has abstractyes

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