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Record W6988073505

Wheat in the World Economy. A Guide to Wheat Studies of the Food Research Institute - Part I. Abstracts A. Developments in the wheat world, 1923-24 to 1943-44

2017· article· en· W6988073505 on OpenAlexaboutno aff

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsnot available
Fundersnot available
KeywordsBushelPurchasing powerCropAgricultureGovernment (linguistics)Consumption (sociology)Wheat flour
DOInot available

Abstract

fetched live from OpenAlex

The World Wheat Situation, 1923-24 J. S. DAVIS and others Dec '24 I (1),1-59 High yields, bumper crops, abundant supplies, record international shipments, low prices, and very low purchasing power of wheat were outstanding features of the world wheat situation in 1923-24.Favored by abundance of cheap wheat, low ocean freight rates, and economic improvement abroad, the international movement of wheat and flour proved unexpectedly and extraordinarily large.Shipments were heavy both to Europe, which had large grain crops, and to ex-Europe, especially Japan and China.Canada's net exports of 348 million bushels were of record size, Argentina's about half as large.Soviet Russia, with fair crops of grain for the first time since the revolution, skimped on domestic consumption and exported, through the government monopoly, substantial quantities of rye, wheat, and barley.United' States wheat farmers, in the third year of postwar agricultural depression, had a very bad season.The domestic crop was the smallest since 1917, and high-quality hard wheats were so scarce that considerable Canadian grain was imported over the 30-cent duty.The United States remained by far the largest exporter of flour, but her net exports of wheat and flour combined were the smallest since the war.Feed use here was unusually large.World wheat prices started upward in the spring of 1924 and rose sharply in June-July, under the joint influence of increased European purchases and deteriorating crop prospects in Europe and Canada.The acute emergency among American wheat growers was ended by good yields, harvests, and prices in 1924.

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.033
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.010
Science and technology studies0.0010.001
Scholarly communication0.0040.007
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0330.025

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 head0.178
GPT teacher head0.394
Teacher spread0.216 · 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
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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