Food security, food sovereignty, and the neoliberal food system in Saskatchewan
Bibliographic record
Abstract
Disruptions due to the COVID-19 pandemic threatened to bring many local, regional, and global food systems to a standstill, as production capacity, supply chains, and distribution networks were all impacted. Researchers responded by documenting a wide range of consequences and reinforcing the importance of fostering food security based on local cultures. As the pandemic started to ease, we examined how cultural knowledge, stories, and other aspects of living heritage helped Canadian prairie producers and consumers navigate and recover from the crisis. As part of a larger Food, Culture, and Heritage project, we conducted a province-wide, anonymous survey that asked about food-related concerns in Saskatchewan, policies that might alleviate these concerns, and steps that could be taken to enhance the resilience of local food systems. Based on 168 responses, with 36 percent coming from rural or peri-urban areas, affordability was a major concern, especially because of rising food prices, low incomes, and transportation issues. The ability to access safe and healthy food was another top issue, partly because of a lack of rural grocery stores and the sensitivity of food-related supply chains. A third concern involved the loss of local knowledge, precipitated by an overreliance on imported and processed foods, limited time, and the effects of colonization. Overall, the results pointed to cultural norms and practices associated with neoliberalism, implying that localized principles aimed at food sovereignty are important for building a sustainable food system.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".