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Record W3126005478

The Canadian Wheat Board in an Open Market: The Impact of Removing the Single-Desk Selling Powers

2006· article· en· W3126005478 on OpenAlexaffabout
Murray Fulton

Bibliographic record

VenueMiscellaneous Publications · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDeskRevenueCompetition (biology)Government (linguistics)BusinessValue (mathematics)MarketingFinanceLawPolitical scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Over the summer and early autumn of 2006, the Government of Canada has indicated its desire to remove the single-desk selling powers of the Canadian Wheat Board (CWB). The purpose of this paper is to explore the impacts of this proposal. The main conclusion of the paper is that it will be very difficult, if not impossible, for the CWB to survive as an organization. Thus, contrary to what the recent task force report by the federal government indicates, the most likely impact of removing the single-desk selling powers is that the CWB will cease to exist. The elimination of the CWB would transform the Canadian grains industry, with the impact of this change felt in virtually every part of the system. The changes that would accompany the loss of the CWB's single-desk selling power would make the Canadian system more and more like that in the United States. It is expected, for instance, that grain company and railroad competition would fall, that producer cars and short line railways would suffer, that the current freight revenue cap would disappear, and that less value would be returned to farmers. Once these changes are made they are irreversible - it would be virtually impossible to go back and restore the system to what is currently in place. The decision to make in a plebiscite. In making this decision, farmers will have to ask themselves, "What is my vision of the grains sector in Canada?"

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.240
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 teacher head, 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

Citations0
Published2006
Admission routes2
Has abstractyes

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