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Record W2800939496 · doi:10.7939/r3998s

From Farm Crisis to Food Crisis: Neoliberal Reform in Canadian Agriculture and the Future of Agri-Food Policy

2013· article· en· W2800939496 on OpenAlexaboutno aff
Kevin Wipf

Bibliographic record

VenueUniversity of Alberta Library · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureFood systemsFood policyFood securityPolitical scienceFood processingEconomic policyEconomicsAgricultural economicsDevelopment economicsGeography

Abstract

fetched live from OpenAlex

This dissertation begins by providing an overview of Canadian agriculture policy during the first half of the twentieth century. It examines the origins of railway transportation subsidies, farm income subsidies, and the Canadian Wheat Board (CWB), policy instruments that became structural features of the agricultural industry on the prairies. It then analyzes the structural pressures that led governments to rethink these features beginning in the 1970s, and the demographic and political context in which farmer support for collective institutions was eroded and neoliberal farm groups came to influence public policy over the decades that followed. Subsequent chapters examine the way that the federal government attempted to reform farm income subsidies in the 1990s and 2000s, in order to adhere to newly established international trade rules, and the relative success of those efforts. Two chapters are then devoted to the political struggle between the neoliberal and collectivist coalitions (farm groups, opposition parties, and governments) over the future of the CWB’s single desk. The second of these chapters focuses on the final political struggle that occurred once the Harper Conservatives won a majority government in 2011, and how the single desk was finally brought to an end. Two concluding chapters then examine the new politics that has emerged around issues pertaining to food security, food safety, and environmental sustainability in Canada, how these issues affect, but often fail to intersect with, the continuing debates about the future of Canadian farming. The dissertation ends by exploring ways that prairie farmers might make connections to these issues, and with the groups working on them, in order to ensure their involvement in the future of agri-food policy 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.435

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.145
Teacher spread0.141 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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