Introspecting food movements in Canada: Unpacking tensions towards justice and sustainability
Bibliographic record
Abstract
Over the past decades there has been a notable growth in community-based food systems projects and successes. Despite these advancements, food insecurity, precarious food work, ecological degradation, and corporate conglomeration in the food sector all continue to increase, compounded by the ongoing impacts of white supremacy, patriarchy, settler colonialism. Recognizing these growing inequities, critical scholars have noted that too many food systems initiatives are overly concerned with influencing individual behaviours and a focus on narrow objectives. Furthermore, many approaches tend to overlook ways that food systems are embedded within political and economic structures that constrain their goals of social and environmental justice. These multiple challenges suggest that food movements are at a crossroads. This paper reflects on this pivotal moment through an analysis of key food movement actor’s perspectives on the progress and promises as well as emerging tensions for food movements in Canada. Through a series of interviews with individuals most prominent in food movement spaces, we explore key perspectives on the state of food movements and possibilities for future directions. Our findings paint a complex and nuanced portrait of what food movements have accomplished, tease out internal tensions, and identify questions facing their future prospects. The perspectives presented through our findings offer a path to transcend the critiques that position short-term strategic gains in opposition to longer-term systemic change. We suggest that food movements can overcome these challenges by embracing a more radical and expansive vision of social and environmental justice that is deeply embedded within food systems while also looking beyond them.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".