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Record W4312179211 · doi:10.1177/23996544221144168

“Land imaginaries” in Western Canada: (financial) neoliberalism, agrarianism, and the contemporary politics of agricultural land

2022· article· en· W4312179211 on OpenAlex
Naomi Beingessner, André Magnan, Mengistu Wendimu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironment and Planning C Politics and Space · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of ManitobaUniversity of Regina
Fundersnot available
KeywordsNeoliberalism (international relations)RestructuringFinancializationAgrarian societyPoliticsLand reformPolitical economyLand tenureAgricultural landPolitical scienceEconomicsEconomic systemAgricultureMarket economyGeographyFinance

Abstract

fetched live from OpenAlex

This article examines contemporary political controversies over agricultural land in the prairie region of Canada. We suggest that contemporary land politics reflect elements of continuity and change in a distinctive “land imaginary” connected to the region’s history and recent restructuring. While neoliberalism, and more recently, financialization, have been the main drivers of restructuring in recent decades, certain strands of agrarianism continue to shape social relations in the agricultural sector. We present three case studies, the first of which examines the controversy over institutional investment in farmland, focusing on the Canada Pension Plan’s large-scale purchase of Saskatchewan land. The second case study examines conflicts over the deregulation of government-run community pastures, with implications for the ranching sector, environmental conservation, and the future of native prairie. Our third case study focuses on the proposed sale and land-use conversion of government-owned pasture land in Alberta, dubbed “Potatogate”. We examine the role of farmers, ranchers, governments, NGOs, and private interests in shaping debates over land ownership and use. We argue that these conflicts reveal a tension between (financial) neoliberalism and agrarian arguments and values, with significant differences across agricultural sub-sectors.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.892

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 head0.009
GPT teacher head0.171
Teacher spread0.162 · 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