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Record W2726556719 · doi:10.1111/cjag.12141

Governance in Canadian Agriculture

2017· article· en· W2726556719 on OpenAlexafffundvenueabout
Douglas D. Hedley

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsAgriculture and Agri-Food Canada
FundersOffice of Food for PeaceCanadian Dairy CommissionTransport Canada
KeywordsAgricultureGovernment (linguistics)ConstitutionCorporate governanceAgricultural policyFood systemsPolitical scienceFood policyCommercial policyFood securityPolitical economyInternational tradeEconomicsGeographyLawManagement

Abstract

fetched live from OpenAlex

Abstract This paper discusses three broad topics in the development of agricultural and food policies in Canada over the past 150 years. They provide the historical backdrop for these policies in place today and the contorted path they have followed over the years. In some cases, the causes lie outside of agriculture and food, and outside of Canada while in others, the causes lie entirely within the constitutional framework for the agriculture and food industry. The first issue explores the changes in the federal–provincial–territorial relationship in policy constructs for agriculture. Equally, the internal trade arrangements within Canada are explored from this aspect. Tracing the origins of this issue requires exploration of the history, design, and interpretation of the Canadian constitution. The second issue traces the changing role of government in society and the economy and its impact on agriculture and food policy. These changes are not specific to Canada since several countries and international relationships were based on the evolving role of government in the economy and society and its implications for agriculture policy and institutions. The third topic discusses the role that trade and trade agreements have made in Canada's approach to agricultural and food policy development. The emphasis in this topic is on the policies of the past 30 or more years as international agreements began the slow process of liberalizing trade in agriculture and food products. All three of these broad topics are closely linked, providing a mosaic for the understanding of where we have been as a nation and the framework that has emerged today for the agriculture and food industry.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.170
Teacher spread0.150 · 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.

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

Citations5
Published2017
Admission routes4
Has abstractyes

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