‘Pinstripes on the prairies’: examining the financialization of farming systems in the Canadian prairie provinces
Bibliographic record
Abstract
Drawing on recent scholarship on the financialization of agro-food systems and the global land grab, this paper examines new forms of financial investment in agriculture in the Canadian prairie provinces. We examine the factors underpinning investor involvement in the sector, including its anticipated financial performance as well as processes of agricultural restructuring that, combined with government actions to liberalize farmland ownership, have facilitated the enrollment of land and labour into new financial vehicles. We focus in particular on the emergence of two new forms of investment vehicles – farmland investment funds and an exchange-traded farming corporation – comparing the business model and investment strategy of each. In doing so, we highlight the ways in which the new investment patterns may propel the restructuring of the agricultural sector, alter power relations among key actors, and introduce new logics into the farming landscape. Our findings allow us to comment on the relevance of the land grabbing frame for making sense of the financialization of agriculture in the global North.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".