Bridging sustainability and the social economy: Achieving community transformation through local food initiatives
Bibliographic record
Abstract
Sustainability and the social economy are two approaches that provide critiques of mainstream economic growth based on the failure to integrate environmental and social concerns. This article explores the potential for community transformation by bridging these two approaches — bringing more environmental considerations into the social economy and using the social economy to advance equity concerns within sustainability. We examine this potential through local food initiatives in two Canadian cities that are striving to create a synthesis of social and environmental objectives to achieve structural change in the way that food is produced, accessed and consumed. Both projects are founded on commitments to sustainable community development and social justice. While the initiatives illustrate the potential for community transformation by integrating sustainability and the social economy, they also illustrate the challenges associated with an incremental approach to change in the context of competition with mainstream economic activities that are heavily subsidized and do not account for negative social, economic and environmental externalities.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.032 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.002 | 0.002 |
| 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".