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Record W3122527121

Multifunctionality and Agricultural Trade Negotiations

2003· article· en· W3122527121 on OpenAlexaff
Philip L. Paarlberg, Maury E. Bredahl, J. Jack Lee

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSubsidyNegotiationAgreement on AgricultureExternalityMarket accessNonmarket forcesProduction (economics)International tradeOrder (exchange)AgricultureMultilateral trade negotiationsIntervention (counseling)BusinessEconomicsInternational economicsTrade barrierPublic economicsMarket economyFactor marketPolitical scienceMicroeconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Differing views of multifunctionality - attributing nonmarket benefits to agricultural production - continue to be an obstacle in World Trade Organization (WTO) negotiations. Some nations see multifunctionality as justifying subsidies to agricultural production; others see it as disguised protection. This paper shows that while multifunctionality never justifies trade interventions, it can justify production subsidies or taxes. Recognizing that the subsidies or taxes can be economically efficient policies, nations must precisely define and value the externalities in order to design policies and defend those interventions in the WTO. Trade rules are developed that accommodate domestic policy intervention while preventing disguised protection.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.027
GPT teacher head0.191
Teacher spread0.164 · 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 designTheoretical or conceptual
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

Citations2
Published2003
Admission routes1
Has abstractyes

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