Evidence of Degrowth Values in Food Justice in a Northern Canadian Municipality
Bibliographic record
Abstract
Our case study draws on emerging ideas of degrowth, showing how degrowth values and strategies may emerge where cities rely heavily on global food systems, and contributes to literature on food for degrowth in local contexts. Degrowth rejects the imperative of economic growth as a primary indicator of social wellness. A holistic understanding of wellness prescribes radical societal transformation, downscaling and decreasing consumption, strengthening community relationships and promoting resilience. Building on Bloemmen et al. (2015), we apply a holistic model of degrowth in a small-scale context, embedded within larger capitalist economies, to examine degrowth opportunities and constraints in Edmonton, Canada. Emergent themes in interviews reveal opportunities and challenges for local food for degrowth, by altering local food supplies, reducing food waste and decreasing consumption. We explore the role of social relationships in food justice work, increasing food knowledge, and building capacity for local, sustainable food production.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.043 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".