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Record W2892110031 · doi:10.1017/s174217051800042x

Adding a new perspective to US agricultural trade policy

2018· article· en· W2892110031 on OpenAlexaboutno aff
Stéphanie Mercier

Bibliographic record

VenueRenewable Agriculture and Food Systems · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)NegotiationInternational tradeAgricultureMarket accessTrade barrierBusinessInternational economicsFree tradeEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract US farmers and ranchers have actively pursued markets in foreign countries for their products since the 1970s. This priority was reflected by the US Congress in 1978 enacting the first set of laws establishing programs aimed at promoting US agricultural exports. In 1986, the US government initiated its first trade negotiations, with the government of Canada, with the express goal of liberalizing access in that market to all US food and agricultural exports. Since that time, the US government has completed free trade agreements with 20 countries, six in DR-CAFTA, 13 in bilateral agreements and adding Mexico to create NAFTA. The US government also devotes considerable resources to detecting and combatting unfair barriers to trade, through informal channels as well as through WTO dispute settlements. However, these tools primarily focus on capturing larger slices of existing markets. To generate better returns, we need to focus more energy on efforts to generate increased demand in developing countries, by helping their agricultural economies prosper. Once those economies are growing, the other tools can be utilized.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.715
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.212
Teacher spread0.177 · 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 teacher head, 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

Citations8
Published2018
Admission routes1
Has abstractyes

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