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Record W3122748944

CANADIAN EXPORTS OF WHEAT AND BARLEY TO THE UNITED STATES AND ITS IMPACTS ON U.S. DOMESTIC PRICES

2000· preprint· en· W3122748944 on OpenAlexaboutno aff
Jeremy Mattson, Won W. Koo

Bibliographic record

VenueRePEc: Research Papers in Economics · 2000
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyAgricultural economicsInternational tradeLiberalizationInternational economicsFree tradeEconomicsBusinessMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Canadian exports of wheat and barley to the United States have increased significantly since the late 1980s. The objectives of this study are to determine the factors that affect trade flows of hard red spring wheat, durum wheat, malting barley, and feed barley from Canada to the United States and to evaluate the impacts of Canadian wheat and barley exports on the U.S. domestic prices of these commodities. Major factors affecting trade flows of these commodities from Canada to the United States include the exchange rate, quality differences, differences in market size, the U.S. Export Enhancement Program, the elimination of Canadian rail subsidies, and trade liberalization under the Canada - United States Free Trade Agreement of 1989 (CUSTA). These factors have positively influenced Canadian exports, resulting in major increases in Canadian exports of agricultural commodities to the United States. The increased Canadian exports have resulted in reduced U.S. domestic prices of wheat.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.034
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0020.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.049
GPT teacher head0.276
Teacher spread0.227 · 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
Published2000
Admission routes1
Has abstractyes

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