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Record W2032561429 · doi:10.1080/02722010903536961

Going Against the Grain: Why Do Canada and the United States Market Wheat So Differently?

2010· article· en· W2032561429 on OpenAlexaboutno aff
Joseph M. Santos

Bibliographic record

VenueThe American Review of Canadian Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersH2020 Leadership in Enabling and Industrial Technologies
KeywordsGovernment (linguistics)Agricultural economicsSubsidyAgricultureConsumption (sociology)Agency (philosophy)BusinessProduct (mathematics)Economic policyEconomicsInternational tradeMarket economyGeography

Abstract

fetched live from OpenAlex

At the turn of the twentieth century, private grain exchanges settled the daily prices for North American wheat. By the end of the Second World War, the Canadian and US governments had intervened significantly in these markets. The Canadian government required farmers in its western provinces to deliver their product to the Canadian Wheat Board (CWB), a single-selling-desk agency that, by then, had supplanted private wheat marketing in western Canada. Meanwhile, the United States government subsidized farm incomes with domestic-use taxes and import tariffs, but otherwise preserved private wheat marketing. In this article, I demonstrate that these disparate agricultural policies were broadly defined by immutable economic realities imposed on each country by global wheat-trade patterns and triggered by unprecedentedly severe agricultural crises. That is, amidst the precipitous fall in wheat prices in the early 1930s, each government crafted farm-support policies that reflected its domestic-consumption share of wheat production and the importance of wheat to its overall economy.

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)0.005
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 score0.095
Threshold uncertainty score0.688

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.012
Science and technology studies0.0160.013
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueThe American Review of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207