Going Against the Grain: Why Do Canada and the United States Market Wheat So Differently?
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".