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Record W7000062904

An economic analysis of removing the Canadian Wheat Board's single desk authority and rail deregulation in Western Canada

2012· dissertation· en· W7000062904 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsDeregulationProfit (economics)Economic analysisConsumption (sociology)Agricultural marketingWestern europeEconomic impact analysisAllotment
DOInot available

Abstract

fetched live from OpenAlex

Wheat is the most common cereal crop grown by farmers in Western Canada and is mainly used for export. The marketing structure for wheat in Western Canada is unique. The Canadian Wheat Board (CWB), a statutory marketing board, is mandated to sell all wheat grown by farmers for human consumption in Manitoba, Saskatchewan, Alberta and the Peace River region of British Columbia. Using historical price and basis data, this research attempts to quantify the economics of the current marketing structure for wheat in Western Canada. Simulations are developed to determine the economic profits and risk that could have been realized in an open market considering scenarios for three potential changes in the grain handling and transportation system (GHTS) and four alternative marketing strategies. Each are evaluated using a utility-based risk model to ascertain the most preferred marketing environment in terms of expected profit and risk.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.014
GPT teacher head0.181
Teacher spread0.167 · 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
Published2012
Admission routes2
Has abstractyes

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